Find Your Dream Career

Education: Secondary (high) school graduation certificate. or equivalent experience. Work setting: Commercial. Tasks: Determine type of glass, frames and material required. Measure, mark and cut glass. Position and secure panes in frame. Assemble and install prefabricated glass, mirrors or glass products. Install door, window and other hardware. Instruct apprentices. Repair glass doors and other glass structures. Assemble, erect and dismantle scaffolding, rigging and hoisting equipment. Transport cases of glass. Estimate costs and materials. Read and interpret blueprints, maps, drawings and specifications. Glass cutting equipment and techniques: Laminate glass. Work conditions and physical capabilities: Physically demanding. Handling heavy loads. Standing for extended periods. Bending, crouching, kneeling. Experience: 3 years to less than 5 years.

Company Overview Bursey Excavating and Development inc. is a locally owned civil construction company with over 30 years of experience delivering infrastructure projects throughout Newfoundland and Labrador. We pride ourselves on safety, teamwork, and developing talent through hands-on experience and career progression. Position Summary We are seeking an experienced Construction Superintendent (Heavy Civil)?to join our team in St. John?s, NL. Reporting to the Project Manager or designate, the Superintendent is responsible for overseeing all phases of heavy civil construction and maintenance projects. This role ensures projects are completed safely, efficiently, on schedule, and within budget while maintaining high standards of quality and compliance. Monday to Friday position with every second Saturday during summer months. Key Responsibilities * Plan, coordinate, and schedule labour, equipment, and materials to meet project requirements * Strong working knowledge in surveying * Review drawings, designs, specifications, and contract documents in detail prior to and during construction * Supervise all field construction and maintenance activities to ensure compliance with design, budget, and schedule * Assign work to crews and oversee daily site operations * Supervise and coordinate subcontractors, suppliers, and equipment needs * Monitor quality standards of work, including subcontractor performance * Ensure efficient use of labour, materials, and equipment Administrative & Leadership Responsibilities * Review and approve timesheets for accuracy, job coding, labour, equipment, and materials * Participate in invoicing and identify extras to be invoiced * Assist with outstanding accounts receivable when required * Act as a liaison between owners, inspectors, subcontractors, and internal teams * Prepare written reports and project updates for management, clients, and project teams Qualifications * High School Diploma required; post-secondary training in a related field preferred or equivalent experience * Minimum 5 years? experience?in a supervisory role within heavy civil construction * Proven experience with: * Project controls * Material management * Contract and subcontract management * Demonstrated ability to deliver projects on schedule and within budget * Valid COR certification?(preferred) * Valid and clean Driver?s License * Ability to pass background checks, including pre-employment drug screening Skills & Abilities * Strong leadership and people management skills * Ability to motivate and manage crews effectively * Excellent organizational, communication, and client relations skills * Strong ability to read and interpret drawings and specifications Job Type: Full-time Pay: $80,000.00-$120,000.00 per year Benefits: * Dental care * Extended health care Application question(s): * Civil Engineering Technology Education: * Secondary School (required) Experience: * Civil Construction: 5 years (required) * Supervising: 5 years (required) * Project controls : 5 years (required) * Materials management: 5 years (required) Work Location: In person

Education: No degree, certificate or diploma. Tasks: Cut and install metal corner beads to protect exterior corners. Measure, cut, fit and install drywall sheets. Read and interpret blueprints, maps, drawings and specifications. Measure and lay out reference points for installation. Measure and mark guidelines to be used for installations. Experience: 2 years to less than 3 years. Employment terms options: Day. Weekend. Overtime available.

*Overview* Job is located throughout the GTHA. We are seeking a skilled and dedicated Electrician to join our small family run service business. The ideal candidate will have a strong background in electrical work, including experience in residential settings and renovation projects. Good communication skills required. *Responsibilities* * Install, maintain, and repair electrical systems in accordance with local codes and regulations. * Read and interpret blueprints, schematics, and technical drawings to determine layout of electrical systems. * Utilize hand tools and power tools effectively to complete installations and repairs. * Troubleshoot electrical issues and perform necessary repairs on low voltage systems. * Collaborate with construction teams during renovation projects to ensure electrical installations meet project specifications. * Work with programmable logic controllers (PLCs) for automation tasks as needed. * Ensure all work is performed safely and efficiently while adhering to safety protocols. *Experience* * Proven experience as an Electrician, preferably in a residential and commercial environment. * Strong understanding of electrical systems, including low voltage applications. * Experience using hand tools, power tools, and other equipment related to electrical work. * Previous maintenance person experience is beneficial but not required. Join our team of professionals dedicated to delivering high-quality electrical services while ensuring safety and efficiency on every project. Your expertise will contribute significantly to our success! Job Type: Full-time Pay: $35.00-$40.00 per hour Experience: * Electrical: 1 year (required) Licence/Certification: * Class G Licence (required) Work Location: In person

The role of: Sales Associate Currently Hiring for: Just Cozy, Chako Mika Mall Nelson BC Seasonal October 24th-January 14th The Sales Associate is responsible for generating sales by providing the customer with an exceptional shopping experience. The Sales Associate maximizes sales by delivering efficient, friendly and knowledgeable service and ensuring the store is neat, clean and well-presented at all times. We are looking for a team of individuals to sell and promote Just Cozy merchandise through execution of the ?Spirited Service? standards. Assist store management in completing the sales generation and operational functions of the store. Are you an Individual who work well in a team environment, create energy and excitement around shared goals and values, contribute to an environment of trust and respect, act with urgency and integrity, demonstrate flexibility? If you welcome new challenges, have a drive for success and embrace the responsibility of leadership, then you belong at Just Cozy. *REQUIREMENTS* * An energetic and friendly team player with a positive mindset * Ability to work a flexible schedule to meet the needs of the business, including mornings, evenings and weekends * Ability to lift and move 50lbs. * 1 year of sales associate experience in a retail environment Job Types: Part-time, Casual Pay: From $19.00 per hour Benefits: * Store discount Work Location: In person

*Banana Grove Market & Deli* is seeking a full-time produce department clerk to join our staff. We are a family-owned neighbourhood grocery store located in East Vancouver. * Must be able to work within a team as well as individually * Previous experience in a retail store produce department is preferred * Ability to speak both English and Cantonese is an asset but not required * Full training will be provided * May be required to work weekends * Salary dependent upon experience * Must be able to lift up to 50lbs Duties will include but may not be limited to: * Preparing and packaging produce for sale * Stocking produce cases * Providing customer service through knowledge of all produce items * Cleaning and maintenance of produce department * Receiving and storage of daily produce shipments We look forward to hearing from you! Job Type: Full-time Pay: From $18.25 per hour Benefits: * Casual dress * Discounted or free food Work Location: In person

About Us We're living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity. Callosum is the Intelligent Systems Company. We believe the next generation of AI won't be defined by any single model or chip, but by intelligent systems in which hardware and intelligence co-evolve. We are building the infrastructure that unifies heterogeneous compute across the full stack. This opens a new axis of scaling intelligence: a dynamic system that tailors itself to what each workload actually needs, whether that's speed, cost, precision, or whatever unit comes next. The last era scaled on a different bet: one bigger model, more of the same chip, more data. That bet is running into structural limits. Frontier models offer extraordinary capability at unsustainable cost, one that today's monolithic infrastructure was never designed to serve. Our founding principle is that intelligence comes from many specialised systems working together, not from any single component. We build the software orchestration layer that co-evolves models, workflows and silicon into one system, delivering inference tailored to every workload, and demonstrating orders-of-magnitude leaps in capability and cost. Because our software spans the full stack, our engineering team works directly with heterogeneous accelerators and frontier silicon, including Cerebras, d-Matrix, Intel, NVIDIA, AMD, Normal Computing, Tenstorrent, GreatSky, and Mixx. We are not stopping at today's chips: each new generation of silicon unlocks algorithms that couldn't run before, and we intend to be first to them, every time. If we get it right, it will belong to everyone building on it - not to any single vendor. In our latest funding round, we raised $100M, led by Atomico with participation from Plural, DCVC and the UK Sovereign AI Fund's first investment. With this, we are building the infrastructure for the next era of intelligence. We are engineers and scientists based in London, working across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you. About the Role Most agent frameworks are designed for short-lived workflows, best-effort execution, and a narrow set of tools. Callosum is building for a different world: agents that run for weeks, operate across distributed infrastructure, and interact with stateful systems where failures, retries, and side effects must be handled explicitly. Success in this environment requires an agent runtime built entirely from first principles. Sitting at the heart of our technical mission, this position owns the runtime and programming model for long-running agent systems. Your focus will span durable execution, checkpointing and replay, distributed scheduling, secure tool execution, and end-to-end observability. You will develop the core software that makes agent workflows reliable, debuggable, reproducible, and efficient as we expand our model and tool footprint. This is a high-leverage role tackling complex systems challenges across the entire stack. Runtime, observability tooling, and framework design are three separate specialties. We are glad to hire someone with real depth in a combination of them. What You'll Build Design and build stateful, asynchronous agent runtimes across distributed environments Define event histories, checkpoint and resume semantics, deterministic reconstruction, retries, cancellation, timeouts, and recovery from partial failure Build traces and replay, time-travel debugging, and hierarchical tracing across model calls, tools, handoffs, state changes, and runtime decisions Develop clear Python APIs, libraries, and DSLs with stable extension points for tools, backends, and new execution models Design scheduling, placement, backpressure, resource accounting, sandboxing, permissions, and isolation for secure tool execution at scale Develop tooling for trajectory collection and visualisation, performance profiling, experiment comparison, failure attribution, and regression detection across models, prompts, tools, and runtime versions What You'll Bring We are looking for real strength in some of the following rather than coverage of all of it. Strong distributed systems background with hands-on experience in durable workflows, actor systems, schedulers, workflow engines, distributed databases, or stream processors Experience designing a library, framework, runtime, or DSL that other engineers or researchers adopted Deep Python expertise plus proficiency in a systems language such as Rust, C++, or Go - and the instinct to move between abstraction layers when it matters Hands-on debugging skills across APIs, runtimes, and distributed infrastructure - with a practical understanding of nondeterminism, side effects, and reproducibility What Sets You Apart Experience building a production-grade runtime, compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility, and reproducibility Experience in ML systems or large-scale inference and training What We Offer Competitive Salary, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all. Find Jobs in United Kingdom on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, with regular time in the lab The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role owns the analysis of our functional genomics data. You would be the main computational partner to the scientists who run our perturbation screens, from how a screen is designed to which hits we call and how we show the evidence for them. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will join the intelligence team and own the analysis of our functional genomics data, working day to day with the scientists who design and run the screens. You will work with them from experimental design through to picking hits, and build the pipelines that let the analysis keep up as screening throughput grows. This is a hands-on role with real influence over how we generate and use our data. The data is multimodal. Single-cell and pooled CRISPR screens are read out by sequencing, by Cell Painting and other high-content imaging, and by proteomics, often on the same perturbations. Much of the job is making those readouts agree with each other, with statistics that hold up when a screen crosses several factors at once. You will work with the software team, who own how data is captured and stored. You build the analysis on top of that, and you own its quality. Your first 90 days FIRST 30 DAYS ◆ Learn how the scientists design and run the screens, and what each readout produces, from sequencing to imaging and proteomics. ◆ Review the analysis and QC that exist for CRISPR screens and Cell Painting, and set out what is missing. DAYS 30 TO 60 ◆ Own the analysis of the first single-cell and pooled CRISPR screens you work on: QC, guide assignment, differential expression and modelling of perturbation effects. ◆ Build the first image-based profiling pipeline for Cell Painting, from feature extraction and normalisation to phenotypic scoring. ◆ Advise on the design of upcoming screens, covering power, replication, library coverage, plate layout and batch effects. DAYS 60 TO 90 ◆ Integrate proteomic, transcriptomic and imaging readouts of the same perturbations, with statistics that hold up for multi-factor designs. ◆ Make the pipelines reproducible and versioned, with the software team, so they scale as throughput grows. ◆ Present results with their uncertainty and QC to the scientists and to leadership. Who you are You have a background in genomics, and you have analysed real screening or single-cell data and built things other people relied on. That might have been in a functional genomics or screening group in biotech or pharma, an academic lab, a core facility, or a computational group that worked closely with one. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. You like working next to the bench. Much of the value is in the conversations with the scientists before a screen runs, and you can explain a result to someone who was not in the room. You write code other people can run, and you care how a result reads to the person receiving it. We do not hire people into boxes. This role will stretch past its description, sometimes into the lab and sometimes into conversations about how our data is used. Early hires here are expected to pick up what is in front of them. MUST HAVE ◆ A PhD, or a master's with two to three years of relevant experience, in genomics, bioinformatics, computational biology, statistics or a related field. ◆ Strong Python or R, with good engineering habits such as Git, code review and reproducible workflows, and working with coding agents. ◆ Hands-on single-cell RNA-seq analysis, for example with Scanpy or Seurat, including MEMBER OF TECHNICAL STAFF, INTELLIGENCE (FUNCTIONAL GENOMICS) CRISPR screen QC such as guide assignment and knockdown efficiency. ◆ Statistical and machine learning methods on biological data, including linear and mixed models, multiple testing, and handling batch effects and confounders. ◆ Working closely with wet-lab scientists, and explaining results clearly to people outside your field. NICE TO HAVE ◆ Perturb-seq or combinatorial-barcoding single-cell RNA-seq, such as Parse Evercode. ◆ Image-based profiling, such as CellProfiler or pycytominer, or deep-learning image analysis. ◆ Multi-omic integration methods. ◆ Workflow managers such as Nextflow or Snakemake, containers such as Docker, and cloud or HPC computing such as AWS. Why this is unusual Most screening analysis happens after the fact, on files from a lab someone else runs, with little record of how each plate was handled. Here you sit with the scientists who run the screens, you can ask how a plate was handled and get an answer, and your analysis goes out with the data. It also crosses readouts that usually live in separate teams. Sequencing, imaging and proteomics from the same perturbations come through one small team, and the analysis has to hold up across all of them. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based in London, at our lab and office in King's Cross. Time in person with the scientists matters for this work. The wider founding team is distributed across London, New York and Europe and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report into the intelligence team. You will work most closely with the functional genomics scientists who design and run the screens, and with the software team. You will be the first person on the intelligence team whose focus is functional genomics data, joining a small team. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value, run from the same template for every candidate. A technical stage built on a real analysis problem from our lab, not a puzzle. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one. We then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, flexible for the right candidate The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role builds our computational chemistry from the start. You would own how a set of target molecules becomes a synthesis plan that automated equipment can run, and how every compound we work with is represented and registered. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will own computational chemistry end to end, from the molecules someone wants made to the plan the lab executes. The role sits at the interface between synthetic chemistry, cheminformatics and software, and lab automation, and you will build the computational capability alongside the physical synthesis and automation capability from an early stage. The role is embedded with the synthetic chemists and the automation scientists and engineers, and you will work with them every day. Much of the value comes from drawing out what experienced chemists know and turning their judgement into rules, models and workflows that apply the same way every time. Two parts of the role go beyond standard computational chemistry, and they are why it matters so much. Routes that automation can execute. A chemically plausible route is only the starting point. Planning has to account for what the platform can do, including the building blocks and reagents available, the reaction classes and conditions it supports, handling constraints, work-up and purification, and throughput. It also has to work across a whole target set. Given hundreds or thousands of targets, you will find the shared chemistry, common intermediates and building blocks, and reduce them to a manageable set of synthetic strategies, balancing diversity and compound value against synthetic cost. You will work with the automation team to define what planning hands to the systems downstream, and over time connect planning, synthesis and experimental results so that each round of results improves the next plan. Chemical identity from the outset. The digital representation and identity of compounds has to be right from the start, because other scientific teams will rely on compound registration for chemical identity, as well as synthesis planning. You will establish when two structures represent the same chemical entity and when they do not, and handle stereoisomers, salts, tautomers, protonation and charge states and other representation and normalisation questions consistently. You will be the first person in this seat. You will choose the methods, set the standards, write the first production code and shape how the capability grows, including who joins it. Your first 90 days FIRST 30 DAYS ◆ Learn how the synthetic chemists and the automation team work, and what the synthesis platform will and will not support. ◆ Agree the rules for chemical identity with the chemists, covering structure normalisation, validation and deduplication, and how stereochemistry, isomers, salts, tautomers and charge states are handled. ◆ Start ingesting vendor catalogues and building-block inventories through supplier APIs and external chemical data sources, capturing availability, cost and metadata so they can act as planning constraints. ◆ Agree with the automation team what a synthesis plan has to specify for the platform to execute it. DAYS 30 TO 60 ◆ Set up compound-registration workflows and identifiers that downstream systems can rely on. ◆ Run a first planning pass on a real target set, generating, evaluating and ranking routes and grouping targets by shared chemistry, intermediates and building blocks. DAYS 60 TO 90 ◆ Build the platform's capabilities and constraints into planning, so routes are scored on whether they can be executed as well as whether they are plausible. ◆ Add selection across the target set that weighs diversity and compound value against synthetic cost, step count and throughput. ◆ Connect compounds, reactions and experimental results to the wider digital chemistry stack (ELN, LIMS and compound registration), and set out how results will feed back into the route and reaction models. Who you are You work across disciplines. You might be a computational chemist or cheminformatician who has spent real time with synthetic chemists, or a synthetic chemist who moved into modelling and software and still cares whether a route works at the bench. You have built synthesis-planning or chemical-data tools that other people relied on, and you know where they break. You think in sets of molecules as well as single ones. You are comfortable making decisions on incomplete information, writing them down, and changing them when the data says so. You listen carefully to chemists, because much of what this role needs is in their judgement and has never been written down. This is a founding seat. You will lead the computational side of our chemistry, and we expect you to shape it from your first week. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. We do not hire people into boxes. This role will stretch past its description, into the lab and into how other teams use chemical data, and early hires here pick up what is in front of them. MUST HAVE ◆ Enough grounding in synthetic organic chemistry to speak the language of synthetic chemists, draw out and distill their expertise, and translate practical chemical judgement into computational rules, models and workflows. ◆ Strong cheminformatics, particularly the rigorous handling of chemical structures in digital form, including molecular and reaction representations, SMILES and SMARTS, stereochemistry and isomers, salts, tautomers, protonation and charge states, substructure and similarity searching, molecular descriptors, and chemical identity and registration. ◆ Experience with retrosynthesis or computer-aided synthesis planning, developing or evaluating methods that generate, evaluate and rank synthetic routes rather than simply calling an off-the-shelf tool. ◆ Reasoning computationally about reactions and their feasibility, including transformations and templates, reagents, conditions, selectivity and supporting reaction evidence. ◆ Planning across many targets at once, finding the shared chemistry, common intermediates and building blocks across hundreds or thousands of molecules and reducing them to a manageable set of synthetic strategies. ◆ A working grasp of the trade-offs between route quality, synthetic tractability, compound diversity and value, building-block availability, cost, step count and throughput. ◆ RDKit or equivalent cheminformatics tooling, and comfort working with chemical databases, APIs and large chemical datasets. NICE TO HAVE ◆ ML or AI approaches to reaction prediction, condition recommendation or retrosynthesis. ◆ Reaction-condition prediction or optimisation, and the design of high-throughput experimentation. ◆ Using experimental reaction data to improve models or planning decisions. ◆ Optimisation methods for selecting compounds or routes across large libraries, such as diversity selection, synthetic-cost models and multi-objective optimisation. ◆ Integrating scientific software with laboratory automation, and with ELN, LIMS or compound-registration systems. ◆ Production-quality scientific software, APIs, databases and data pipelines. Why this is unusual Most computational chemistry roles plan routes for chemists to carry out by hand, or build models on reaction data someone else collected. Here, a route counts only if the platform can execute it, and the results of every run come back to you as data to learn from. The work also reaches past synthesis. The rules you set for chemical identity become the reference other teams build on, so a salt form or a tautomer handled carelessly matters well beyond a single route. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based at our office in King's Cross, London. Our preference is a hybrid pattern with regular time in person with the chemists and the automation team, and for the right candidate we are open to a more flexible arrangement. The wider founding team is distributed across London, New York and Europe and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report to the co-founder who leads our science. You will work most closely with the synthetic chemists and with the automation scientists and engineers. You will be the first person whose focus is computational chemistry, joining a small team. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value. A technical stage built on a real problem of the kind this role owns. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one, and we then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

📍 London - Hybrid. 2 days per week in our London office, 3 days remote / work from home (40 hour week) Are you a hands-on People Operations professional who loves working with data, enjoys solving problems and has already found clever ways to make processes better through technology and automation? If so, we'd love to hear from you! We've spent the last few years transforming People Operations at Goodlord, building strong foundations and finding smarter ways to work. Now we're looking for someone to take what we've built and make it even better. You'll lead our small People Operations team, combining day-to-day operational ownership with systems, data, reward and continuous improvement. We're particularly interested in people who bring three things: genuine People Operations expertise, a real strength in numbers and data, and practical experience of implementing automation or AI-enabled improvements. What you'll be doing Own and continually improve our end-to-end People Operations processes, from onboarding and Right to Work compliance through to offboarding. Take ownership of our People systems, data and reporting, ensuring accuracy and providing meaningful insight to support decisions. Use AI, automation and technology to simplify processes, reduce manual work and improve efficiency. Support reward and benefits processes, including pay reviews, salary benchmarking and pay banding. Lead and support our People Operations Specialist, staying hands-on with the day-to-day while finding smarter ways of working. What we're looking for Genuine experience owning and delivering People Operations, including employee lifecycle processes, HR systems and compliance. Excellent numeracy and analytical skills, including advanced Excel and confidence working with complex data and calculations. Proven experience personally implementing automation or AI-enabled improvements to operational processes. The confidence, curiosity and judgement to challenge how things work, solve problems and drive improvements. This role probably isn't for you if... Your background is primarily in People Partnering, HR advisory, Talent Acquisition or broader strategic People leadership rather than hands-on People Operations. Numbers and spreadsheets aren't your thing! Data, analysis and complex calculations are a significant part of this role, so you'll need to be confident with them and genuinely enjoy that side of the work. You're interested in AI and automation but haven't yet had the opportunity to put that interest into practice. We're looking for someone who can bring hands-on experience of implementing improvements. You're looking for or are operating at a purely strategic leadership role rather than being directly involved in operational delivery. A little more about the role You'll report to our People Director and manage our People Operations Specialist, working closely with teams across Goodlord. This role is based in London, with two days a week in the office (Tuesday is our People Team anchor day) and three days working remotely, with once a month paid travel to our Sheffield and/or Lincoln offices. If you're someone who loves getting into the detail, can confidently work with complex data and has already demonstrated how technology can transform People Operations, we'd love to hear from you Why you'll love being a Goodlordian Aside from the role, the people, our culture and our mission, we have some other things that make Goodlord a pretty awesome place to be. Here's a few favourites amongst Goodlordians (check out our careers page for more info). Grow with Goodlord: your development is important to us, that's why we are Great Place to Work - certified . Have a goal in mind? Share it with us so we can use some of our annual development fund to support it. We guarantee you'll learn loads and develop both personally and professionally! Your well-being matters: bi-weekly coaching with Sanctus to provide Goodlordians with a safe place to talk and support your mental health 25 days holiday (plus UK Bank holidays) plus 1 day per full holiday year up to 32 days: We believe regular breaks are essential for well-being and we encourage (some may say expect!) all Goodlordians to take full advantage of their annual leave entitlement. Supporting your family: we offer Goodlordians of all genders a generous 3 months of fully-paid time off to look after their new arrivals Our team: we're an energetic, sociable, and talented bunch who are super passionate about what we do and determined to make a difference. We're all in it together, we learn from each other, we're genuine and we don't have time for politics What's next? If you're ready to help us on our mission to be the gold standard platform for renting, then click apply (2-3 minutes)! A full job spec is available on request. Goodlord wants applicants from all backgrounds and walks of life; we are an equal opportunity employer committed to creating an inclusive environment. Creating a space where everyone feels included is central to who we are. Because we're an open book and we learn from each other, we actively champion diverse perspectives and unique life experiences. If there is anything you need to participate fully in the interview process, we'd love to hear about that too - please include it in your application. ** Please note, as we are regulated by the Financial Conduct Authority, all Goodlordians are required to pass a thorough referencing check via Experian before joining the team. We will only ask for references at the point of making an offer. No agencies please - we have tried and trusted partners we would turn to should we require support. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. Kraken Customer What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimising resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry. Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. 🏠 Where you'll fit in: We have been licensing Kraken since 2019. Throughout this time, the Delivery team has been at the forefront of industry-leading migrations, setting a new standard for what business transformation can look like. These transformations go far beyond technology: we work with clients to rethink their operating models and ways of working, while continuously making the most of Kraken's evolving capabilities. Client Delivery sits at the heart of Kraken's transformation journeys, at the intersection of our clients and the product and engineering teams building Kraken 🚀 We lead conversations around our clients' most important needs, help them unlock the value of Kraken and turn complex challenges into opportunities to evolve the platform, keeping Kraken innovative, relevant and ahead of where the energy market is going. We are seeking a proactive, driven and curious Client Delivery Associate to join the Delivery team at Kraken. In this role, you will partner closely with both internal teams and clients on complex migration projects. You will get the chance to work alongside our Client Delivery Leads, Engineers, and Operations experts working as part of a project team to deliver impactful solutions and ensure seamless technical delivery. 🚀 What you'll own: You will be part of the day-to-day delivery of a client's transformation journey, working as part of a project team alongside Client Delivery Leads, engineers and operations experts. You will build a strong understanding of Kraken's platform, the principles of tech delivery, and your client's business model, so you can help drive successful outcomes. You will build strong relationships with client counterparts, acting as a knowledgeable ambassador of Kraken and keeping communication clear and effective. You will take ownership of small feature rollouts or system configuration, from gathering requirements to delivering updates, managing progress and mitigating risks. You will take ownership of exploring client issues, including analysing the platform and using data to scope the issue and drive client actions. You will support triage of incoming requests, making sure client needs and timelines are clearly passed to the right Kraken teams. You will use key tools (Slack, Asana) to manage tasks, document progress and report effectively. You will identify potential risks to client outcomes and take proactive steps to address them, escalating early when you need support. You will actively contribute to team rituals and share what you learn, helping to keep momentum going. You will be committed to the Kraken way of delivering tech, based on simplicity, client benefit and efficiency. You will proactively learn and develop by shadowing colleagues, seeking feedback and embracing new responsibilities. 🧠 What you'll bring to the party: A technical aptitude and analytical mindset, with a natural curiosity about not just how to use something, but how it works. Some experience in a client-facing, delivery, consulting, operations, analyst or similar role. Experience of technology products or projects is a plus, but you don't need to have led them. Excellent written and verbal communication skills, with the ability to manage expectations and give clear updates to clients and colleagues. Good problem-solving skills and the ability to break down a complex problem into clear next steps. The ability to work independently and take initiative, with a strong focus on getting things done, and the judgement to know when to ask for help. A proactive, adaptable and hands-on mindset, willing to roll your sleeves up to solve any problem. Resilience and empathy, staying positive and persistent through challenges while understanding the human impact of change on the people we work with. A real appetite to learn, give and receive feedback, and grow quickly. We are a flat and agile organisation and plan to remain this way. We are looking for open-minded individuals who are comfortable with ambiguity and an ever-changing environment. ⭐ Bonus points Exposure to consulting, project delivery or technology implementations. Experience using data to investigate problems (e.g. SQL, spreadsheets or BI tools). For this particular role, prior experience in the energy sector is strongly preferred. This role is ideal for someone who thrives in a dynamic, fast-paced environment, values teamwork and growth, and is eager to make a tangible impact on client success. This role provides the foundation to learn about technical delivery and provides an opportunity to become an expert in a technical domain. Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. *Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.* Find Jobs in United Kingdom on Arbeitnow

About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! About the team Strategic Finance is part of Alma's Finance team and reports to the CFO. Our job is to understand Alma's economics better than anyone: we own the top line, the unit economics and the Contribution Margin, and we turn that knowledge into decisions on pricing, partnerships, markets and products. We are organising the team so that each person owns a piece of Alma's P&L from start to finish: its business plan, its recurring analysis, its key finance processes, its business partners and its Board materials. Depending on the scope, that piece can be payments and partnerships, our existing merchant base, or new business and growth, each with one or more European markets attached. About the job Own your piece of the P&L. Build and maintain its business plan, follow its performance month after month, and explain what moves the numbers and why, all the way up to the Board. Run the key finance processes of your scope. Depending on the scope: pricing, merchant performance reviews, cost and margin analysis, country reviews. You are accountable for their quality, and for making them better at every cycle. Be a real partner to the business. Work day to day with the commercial, product and operations teams, step back from the numbers, and bring a clear recommendation whenever a decision is on the table. Rebuild how finance works with AI. Prototype AI-assisted workflows, industrialise the ones that work, and free up the team's time for analysis and influence. Raising the bar on how we work matters as much as what we deliver. You will work with Google Sheets · Excel · SQL (largely AI-assisted) · Notion · Slack · AI assistants and LLMs About you To succeed in this job Have 6 to 7 years of experience in strategic finance, FP&A, transaction services, consulting or a similar analytical role, ideally including time in a fast-growing company. Model with ease and think in unit economics: you can build a business plan from raw data and spot when a number doesn't make sense. Querying is largely AI-assisted at Alma, so data judgement matters more than deep SQL. Have a strong appetite for AI and learn fast. Ideally, you have already built AI-assisted workflows and made them stick. Take ownership and bring business sense: you make a scope your own, you know when to step back, and you can influence people who don't report to you. You work comfortably in English and have enough French for day-to-day exchanges with colleagues (native French is not required). And it will be nice if you also Hold a Master's degree in Finance, Business or Engineering, or equivalent. Have exposure to fintech, payments or BNPL. Speak a third language beyond French and English, a real plus given our European footprint. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. What's in it for you If you join, you will be able to grow and impact on: Ownership and visibility. A piece of Alma's P&L that is truly yours, with direct exposure. AI at the core of the job. The chance to redesign how a finance team works, building the workflows rather than just using them. A team in the making. Strategic Finance is being restructured now: you will help shape how it works, in a Next40 scale-up growing across Europe, with room to take on broader responsibilities. Compensation & Benefits Competitive salary based on 12 months Profit-sharing and employee savings plan Health insurance: 100% covered by Alma including family package Disability insurance: 100% covered by Alma Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) Meal vouchers: €10/day, 50% covered by Alma Mental health: free access to MindDay platform Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) Access to our Learning & Development Platform 2 weeks of full remote possible per year in summer Interview Process Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge. 1 or 2 additional interviews customized to the role's level to further assess your skills and team fit. Diversity & Inclusion At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs. Find Jobs in France on Arbeitnow