Tooling engineer jobs in United Kingdom

Entity: Technology Job Family Group: IT&S Group Job Description: bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Stay current with the latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI., • Prior experience in energy, logistics, or industrial domains is a plus but not required. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

The Mission At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That’s why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win-win for birds, farmers, the environment, and people everywhere. Today, we’re watching 60 million chickens a year. We believe we are setting the standard for animal welfare and smart farming - and we’re just getting started. The People We’re a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day: Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion. Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what’s possible in poultry farming. Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other’s strengths to revolutionise farming. Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can’t live without. This is an exciting moment of growth for FLOX - and we’re looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives. The role We are currently seeking a Senior Platform Network Engineer to work directly under our CTO in our office in London. This role sits in the Engineering Team, and you will report directly to the Senior Engineering Manager. We’re a growing start-up with plenty of room for progression and making the role your own. Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description. What you will be doing: Network Infrastructure: • Own the entire networking stack: edge hardware, VPN configurations, cloud networking, on-premises and edge deployments, while ensuring comprehensive security for FLOX, its customers and stakeholders, • Lead network hardware specification, qualification, configuration and deployment across diverse agricultural environments, • Operate monitoring systems to ensure network uptime and performance, responding to issues through established incident management processes, • Conduct remote and on-farm network debugging and issue resolution, collaborating on root cause analysis and implementing systematic improvements, • Develop comprehensive scalability plans for our global network of systems and devices, aligned with ambitious international growth objectives, • Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans, • Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans, • Configure and maintain load balancers, network switches, routers, and wireless infrastructure for farm deployments Platform Engineering: • Design and implement infrastructure-as-code solutions for automated network and platform deployments, • Define and maintain scalable data pipelines to process multimodal inputs including video, sensor data and structured metadata from network edge devices, • Build internal tools, diagnostics and platform APIs that empower product delivery teams to operate reliably and self-serve common workflows, • Develop automated systems to detect network and platform anomalies, including connectivity issues and ingestion breakdowns, with escalation workflows, • Work cross-functionally with Computer Vision, DevOps and Product colleagues to align platform capabilities with product goals and ensure reliable integration points, • Optimise platform architecture for high availability and fault tolerance through resilient patterns and failover mechanisms that complement network redundancy, • Lead the development of infrastructure for deploying and monitoring edge applications and services across the distributed network, • Collaborate with tech leads on incident response, architectural reviews and decision-making to drive continuous improvements in platform reliability We would love to meet you if you have all or some of these requirements: • Understanding of networking protocols: TCP/IP, BGP, OSPF, VLAN, STP, LACP, • Experience with switches/routers from Cisco, MikroTik, Netgear, Ubiquiti (or equivalent), • Experience with wireless deployments (Wi-Fi 6/6E) and resilient WANs (Starlink, cellular backup), • Experience with PoE systems and fibre: PoE+/PoE++, extenders, CAT5/5e/6 cabling, single/multi-mode fibre, • Experience with IoT gateways and messaging: BLE gateways, MQTT, • Understanding of storage/compute for edge AI: local storage for model training, ZFS, RAIDs, NFS, • Experience with security controls: firewalls, VPNs, NAT gateways; understanding of zero-trust and ACLs; experience with Keycloak and NGINX reverse proxy, • Experience with Python and FastAPI; understanding of data/messaging systems: Kafka, MySQL, MongoDB, PostgreSQL, • Experience with containers and orchestration: Docker; Kubernetes networking and service mesh; RKE2, • Experience with streaming protocols: RTMP, WebRTC, HLS, MPEG-DASH, • Experience with monitoring/telemetry: Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters, • Experience with CI/CD and automation: Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD, • Experience with cloud platforms: AWS (primary), with GCP/Azure exposure, • Experience with MLOps/data tooling: DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouses What we can offer you: • Up to 65k p.a. depending on experience and location, • Flexible working, • Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like, • Exposure to state-of-the-art technologies, • A young and international work environment, • Travel within the UK & potentially into the US and LATAM, • A chance to work with well-respected experts, including AI and robotics We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Manufacturing Engineer NW London Are you a hands-on Manufacturing Engineer with a passion for process improvement, NPI, and driving innovation in electronics or device assembly? Join a growing business that blends cutting-edge product development with high-mix, low-to-medium volume manufacturing. You'll work alongside cross-functional teams to optimise processes, support new product launches, and lead continuous improvement initiatives that truly make an impact. You won’t be stuck firefighting here. This is a real opportunity to shape how things are made — from new product launches to smart process improvements in a high-mix, low-to-medium volume manufacturing environment. The role in 60 seconds: You’ll take ownership of manufacturing process design and improvement — especially around NPI, tooling and fixtures, Lean/Six Sigma projects, and structured problem-solving. You’ll work with passionate teams across R&D, Quality, Production and Supply Chain — and see your ideas turned into real-world improvements. Why this might just be your next big move: • You’ll be more than a cog in the wheel — your voice matters here, • You’ll play a key role in bringing new tech from prototype to production, • You’ll leave things better than you found them — and be recognised for it, • You’ll collaborate with sharp, cross-functional teams in a growing, tech-led business, • You’ll be hands-on — not desk-bound What we’re looking for: • 4+ years in manufacturing engineering operating as a Manufacturing Engineer (electronics/device assembly), • Solid NPI and APQP background, • CAD skills (SolidWorks/AutoCAD) for tooling/fixture design, • Comfortable with SMT, hand soldering, test & IPC standards, • Strong problem-solving toolkit (5 Whys, DMAIC, 8D etc.), • Someone who spots waste and sees opportunity Bonus points for: • Lean Six Sigma certification (Green Belt or above), • Familiarity with ISO 9001, 13485, or IATF 16949, • ERP/MES or manufacturing analytics experience If this role sounds like you drop me a message or apply now to learn more

Network Automation Engineer CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities Essential Experience: (must -have skills/qualifications) • Solid experience of working in a high-pressure, large-scale, global environment., • Solid understanding of Web Security - Web Application Firewalls & API Security Gateways, • Experience doing development & tooling for Network & Security Engineering Teams, • Ability to communicate at all levels., • Solid understanding of distributed multi-tier architectures., • Solid understanding of change control procedures and incident reporting methodologies., • Automating infrastructure provisioning - IaaS & Automating application delivery - PaaS, • Successful, proven experience (minimum 3 years) in similar function within a large multi-functional environment., • Very good working knowledge of financial services industry., • Experienced in the technical implementation of key business applications through Test and into Live Service., • Significant experience of different delivery methodologies (waterfall, agile/SaFE/LeSS/kanban/xp) Essential Technical Experience: • Good understanding of Firewalls, • Good experience with automation around Networking & Security devices, • Minimum 5 years' experience in a DevOps/Automation role, • Good experience with Automation Frameworks specifically Ginger, • Solid Development Skills (Bash, Python), • Solid Development Skills in developing and consuming RESTful services., • Understanding the build life cycle of an application through to deployment., • Solid understanding of general cloud based services, IaaS, PaaS, SaaS., • Good Understanding of Agile deliveries Competencies Required: • Excellent communication skills - both verbal and written, • Team Work - Shares knowledge, information and expertise, collaborates with others to achieve a common purpose. Ability to maintain composure in a high pressure work environment, • Analysis and Solutions Seeking - Has a clear logical approach to problem identification and analysis always minimising risk. Strong problem solver, • Planning and Organisation - Has a structured approach to work, self-organised and adaptable to varying demands in workload., • Client focus - Maintains contact with clients, keeping them informed and using feedback to improve quality of service., • Ideas Generation - Takes initiative to seek and develop solutions or enhancements., • Professionalism - Has discipline, good time management and takes responsibility for decisions., • Commercialism - Has general awareness about organisational goals and objectives. Rewards and Benefits In return you will be awarded with a competitive salary, excellent benefits and the opportunity to develop your career and skills within a growing company. Equal Opportunities: CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. As a Disability Confident employer, we will. • Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on 020 7602 6000 to discuss individual requirements further).

Staff Engineer – Software Development, System Architecture & Distributed Systems Hybrid (London – 3 Days In-Office) | Up to £150,000 + Bonus + Benefits Are you ready to play a key role in scaling one of the UK’s most exciting FinTechs? Our client is a fast-growing, fintech on a mission to redefine how people interact with their finances. With fresh investment, strategic partnerships, and an ambitious product roadmap, they're entering a transformative phase and they’re seeking 2 Staff Software Engineers to help shape the future of their platform (one entry level Staff Engineer, one experienced Staff Engineer). This is a high-impact, hands-on role offering significant technical ownership across the platform. You’ll drive architectural strategy, champion engineering excellence, and provide deep technical excellence across multiple teams. While not a people management position, you’ll act as a key technical influencer and collaborator, guiding system evolution at scale during a period of rapid growth. What You’ll Do • Architect for Scale: Design and evolve distributed, event-driven systems that are robust, secure, and scalable ready to meet the demands of a growing user base and a regulated environment., • Drive Technical Excellence: Set and maintain high standards for code quality, testing, system performance, and engineering practices., • Influence Without Authority: Provide technical direction across teams, help navigate complexity, and drive alignment on architectural decisions., • Mentor and Support: Partner with engineering managers to mentor developers, foster a culture of ownership, and elevate the overall technical bar., • Collaborate Cross-Functionally: Work closely with Product, Design, and Operations to build pragmatic, customer-focused solutions., • Tackle Technical Debt: Identify architectural bottlenecks and drive long-term improvements to system design and developer experience., • Shape Engineering Strategy: Contribute to the long-term technical roadmap, platform evolution, and improvements in tooling, CI/CD, and observability. What You’ll Bring • Proven experience leading large-scale, complex technical initiatives in high-velocity production environments., • At least 3 years in a Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set., • Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design., • Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java)., • Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools., • Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for the job., • Strong communication and stakeholder engagement skills; comfortable working through ambiguity and influencing at all levels., • A mindset focused on long-term sustainability and strategic technical thinking. Bonus Points For • Fintech or regulated environment experience, particularly investment platforms., • Familiarity with modern observability stacks and incident response processes., • Experience with security-first architecture and data protection best practices. Why Join? • Well-Backed & Ambitious: Backed by a globally recognised financial group with significant investment from a household FS name and a bold growth plan., • Real Technical Impact: Your work will shape the next-gen investment platform used by thousands daily., • Engineering-Led Culture: High trust, low ego, and deep respect for technical voices., • Flexible & Modern Ways of Working: Hybrid setup (2–3 days remote), with modern offices in London or Budapest., • Competitive Compensation: Up to £150,000 base + annual bonus + excellent benefits, including private healthcare, life insurance, enhanced pension, generous L&D budget, and more. For more information please apply below, or send your CV to me on

Data Science & GenAI Tech Lead — AI Agents, Structured Insights & Detection Location: London, hybrid About Anecdote Anecdote we’re on a mission to make customer experience delightful for everyone involved . Think a real‑time copilot that listens to live calls and chats, reads our customers’ knowledge bases, and drafts high‑quality replies for human agents - while also turning messy, multi‑channel feedback into trustworthy structured insights, anomaly detection, and novelty discovery. As the Tech Lead, you’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics.What makes you a great fit, • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

JOIN OUR JOURNEY Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign ‘Best Place to work’ for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs, , Alzheimer’s Society, RNLI and Clearscore. OUR VALUES • Commit to Doing the Right Thing (Act with integrity and accountability), • Help People Flourish (Invest in people), • Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: • Time to Unwind – 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme., • Hybrid Working – Balance between home and office. We welcome requests for flexible working arrangements from the commencement of employment., • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support., • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling., • Supporting Families – Enhanced parental leave, flexible working and life assurance., • Giving Back – Paid charity days and sustainability initiatives., • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture. WHAT YOU BRING TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: • Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation., • Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines., • Champion data quality and integrity, troubleshooting issues and ensuring our outputs remain reliable and trusted., • Collaborate with senior Apollo leads to align our data products with business and client priorities., • Use and contribute to our Python tooling, whether through writing scripts, enhancing existing tools, or defining requirements and design improvements., • Partner with analytics, data science and visualisation teams, ensuring datasets are meaningful, intuitive, and optimised for their use cases., • Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills • SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards., • DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling., • Python – some experience; able to use and adapt scripts and tooling effectively, with an understanding of core syntax and concepts., • Git – intermediate; solid grasp of core workflows and version control best practices in a collaborative engineering environment., • Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills • Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift)., • Familiarity with data pipelining and orchestration systems (e.g. Airflow)., • Understanding of modern analytics architectures and data visualisation tools (we use Preset.io / Apache Superset)., • Exposure to CI/CD pipelines (GitLab CI preferred)., • Experience with advertising or media data is a plus.

Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solution, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. As a Senior Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: • Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems, • Build frameworks and supporting tooling for data ingestion from a complex variety of sources, • Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology, • Model their data for increased visibility and performance, • You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves., • You will work in short sprints to deliver working software, • You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation You can read more about what we do and how we think here: Skills you’ll need: • Demonstrated experience as a Senior Data Engineer in complex enterprise environments, • Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala, • Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake, • Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical, • A nuanced understanding of code quality, maintainability and practices like Test Driven Development, • Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD, • Understanding of Cloud platforms, DevOps, GitOps, Containers What will you experience as a culture at Sahaj? At Sahaj, people's collective stands for a shared purpose where everyone owns the dreams, ideas, ideologies, successes, and failures of the organisation - a synergy that is rooted in the ethos of honesty, respect, trust, and equitability. At Sahaj you will experience:- • Creativity, • Ownership, • Curiosity, • Craftsmanship, • A culture of trust, respect and transparency, • Opportunity to collaborate with some of the finest minds in the industry, • Work across multiple domains What are the benefits of being at Sahaj? • Unlimited annual leave, • Life Insurance & Private Health insurance paid by Sahaj, • Stock options, • No hierarchy, • Open Salaries

We're looking for a passionate Data Engineer who is experienced with AI tooling - including building Gen AI agents in-product - to join their growing Data Engineering ream. Data Engineer - Award-Winning AI SaaS platform We're partnered with a pioneering SaaS company that's transforming

Staff Engineer – Software Development, System Architecture & Distributed Systems Hybrid (London – 3 Days In-Office) | Up to £150,000 + Bonus + Benefits Are you ready to play a key role in scaling one of the UK’s most exciting FinTechs? Our client is a fast-growing, fintech on a mission to redefine how people interact with their finances. With fresh investment, strategic partnerships, and an ambitious product roadmap, they're entering a transformative phase and they’re seeking 2 Staff Software Engineers to help shape the future of their platform (one entry level Staff Engineer, one experienced Staff Engineer). This is a high-impact, hands-on role offering significant technical ownership across the platform. You’ll drive architectural strategy, champion engineering excellence, and provide deep technical excellence across multiple teams. While not a people management position, you’ll act as a key technical influencer and collaborator, guiding system evolution at scale during a period of rapid growth. What You’ll Do • Architect for Scale: Design and evolve distributed, event-driven systems that are robust, secure, and scalable ready to meet the demands of a growing user base and a regulated environment., • Drive Technical Excellence: Set and maintain high standards for code quality, testing, system performance, and engineering practices., • Influence Without Authority: Provide technical direction across teams, help navigate complexity, and drive alignment on architectural decisions., • Mentor and Support: Partner with engineering managers to mentor developers, foster a culture of ownership, and elevate the overall technical bar., • Collaborate Cross-Functionally: Work closely with Product, Design, and Operations to build pragmatic, customer-focused solutions., • Tackle Technical Debt: Identify architectural bottlenecks and drive long-term improvements to system design and developer experience., • Shape Engineering Strategy: Contribute to the long-term technical roadmap, platform evolution, and improvements in tooling, CI/CD, and observability. What You’ll Bring • Proven experience leading large-scale, complex technical initiatives in high-velocity production environments., • At least 3 years in a Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set., • Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design., • Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java)., • Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools., • Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for the job., • Strong communication and stakeholder engagement skills; comfortable working through ambiguity and influencing at all levels., • A mindset focused on long-term sustainability and strategic technical thinking. Bonus Points For • Fintech or regulated environment experience, particularly investment platforms., • Familiarity with modern observability stacks and incident response processes., • Experience with security-first architecture and data protection best practices. Why Join? • Well-Backed & Ambitious: Backed by a globally recognised financial group with significant investment from a household FS name and a bold growth plan., • Real Technical Impact: Your work will shape the next-gen investment platform used by thousands daily., • Engineering-Led Culture: High trust, low ego, and deep respect for technical voices., • Flexible & Modern Ways of Working: Hybrid setup (2–3 days remote), with modern offices in London or Budapest., • Competitive Compensation: Up to £150,000 base + annual bonus + excellent benefits, including private healthcare, life insurance, enhanced pension, generous L&D budget, and more. For more information please apply below, or send your CV to me on

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Rates Marking and Pricing team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. This is a great opportunity to work closely with the trading desk and develop business critical applications that directly enhance the desk's revenue-generating capabilities. Job responsibilities • Works closely with the Linear Rates trading desk to develop and maintain their business critical marking and pricing toolset., • Provides direct support for applications in response to trading desk requests., • Migrates legacy tooling to the current platform in a continuous cycle of uplift., • Produces secure, high-quality production code and ensures algorithms operate seamlessly with existing systems., • Builds relationships across Quantitative Research and the wider Technology team to deliver the best solutions., • Participates in software engineering communities and events, exploring and promoting new and emerging technologies., • Proficient in Python programming, with front to back experience of building user interfaces and server back-ends, • Hands-on practical experience in system design, application development, testing, and operational stability, • Familiarity with interest rate derivative products and yield curve construction, • Ability and confidence to interact with trading desk, quant research and technology stakeholders to develop strategic solutions, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Overall knowledge of the Software Development Life Cycle, • Familiarity with modern front-end technologies including React/TypeScript and Python/ENAML, • Experience working in a financial services or trading environment, • Understanding of interest rate yield curves and their construction J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Cloud Platform Engineer at JPMorgan Chase within the Chief Data and Analytics Office, you'll be a key player in our agile team. We work together to enhance, build, and deliver top-notch technology products securely and efficiently. Your expertise and problem-solving skills will be crucial in promoting business impact and tackling a diverse array of technical challenges. This role offers the opportunity to apply and grow your skills in a dynamic and collaborative environment. Job Responsibilities: • Provide technical guidance and direction to support business, technical teams, contractors, and vendors., • Develop secure, high-quality production code; review and debug code written by others., • Drive decisions influencing product design, application functionality, and technical operations., • Lead design and development of secure, scalable, reliable cloud infrastructure and platform tools; serve as a subject matter expert and provide technical leadership to the cloud engineering team., • Advocate firmwide frameworks, tools, and practices within the Software Development Life Cycle., • Influence peers and project decision-makers to adopt leading-edge technologies., • Collaborate with development teams to deliver high-quality, secure, scalable cloud applications., • Identify improvement areas and prioritize initiatives aligning with business goals., • Stay updated with cloud technology advancements; recommend adoption and implementation of new tools/technologies., • Ensure compliance with security and regulatory requirements for the cloud., • Manage Data Platforms Amazon EKS estate across multiple clusters and AWS accounts; contribute to Kubernetes software best practices, drive adoption, and coordinate annual upgrades/migrations. Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and proficient advanced experience, • Deep understanding of Kubernetes as a Runtime Platform, including core concepts., • Experience managing upgrades and migrations of Amazon EKS clusters., • Development of Kubernetes operators to automate toil and improve developer experience., • Hands-on experience with one or more cloud computing platform providers (AWS, Azure, GCP)., • Experience with Cloud Infrastructure Provisioning Tools like Terraform, Pulumi, Crossplane, and Cloud Formation., • Proficiency with programming languages like Golang, Python, Java, JavaScript/TypeScript., • Experience with CNCF and alternative tooling., • Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes., • Formal training or certification on software engineering concepts and applied experience., • Advanced knowledge of software applications and technical processes, with expertise in one or more technical disciplines (e.g., cloud, AI, machine learning, mobile)., • Ability to tackle design and functionality problems independently with little to no oversight, with a background in Computer Science, Computer Engineering, Mathematics, or a related technical field. Preferred qualifications, capabilities, and skills • Experience implementing multi-cloud architectures, • CKA and/or CKAD certifications. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities • Build robust Data Science capabilities which can be scaled across multiple business use cases, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems, • Research and analyse data sets using a variety of statistical and machine learning techniques, • Communicate AI capabilities and results to both technical and non-technical audiences, • Document approaches taken, techniques used and processes followed to comply with industry regulation, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions., • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.), • Specialism or well-researched interest in NLP, • Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc., • Experience monitoring, maintaining, enhancing existing models over an extended time period, • Extensive experience with pytorch and related data science python libraries (e.g. pandas), • Experience of containerising applications or models for deployment (Docker), • Experience with one of the major public cloud providers (Azure, AWS, GCP), • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray), • Experience of big data technologies, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints, • Experience with container orchestration tools (e.g. Kubernetes, Helm), • Knowledge of open source datasets and benchmarks in NLP, • Hands-on experience in implementing distributed/multi-threaded/scalable applications J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description At Chase UK, we're redefining digital banking by harnessing cutting-edge technology to deliver seamless, intuitive experiences for our customers. Our engineering team operates with a start-up mindset, empowered to shape the future of banking through scalable, reliable, and innovative solutions. If you're passionate about operationalizing advanced machine learning—including large language models (LLMs) and generative AI—this is the place for you. As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you'll work alongside ML scientists, Data Engineers and software engineers to build, deploy, and maintain sophisticated machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and developing the supporting infrastructure that keeps our AI-driven products robust and scalable. Job Responsibilities: • Build, automate, and maintain ML pipelines for deploying advanced models, including large language models (LLMs), at scale., • Collaborate with data engineers, scientists and product owners to operationalize workflows for reliable, seamless model deployment and monitoring., • Implement monitoring, logging, and alerting for AI services, ensuring performance, security, and compliance in production environments., • Write clean, maintainable, and efficient Python code for ML tooling, orchestration, and infrastructure., • Develop and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation., • Work with containerization and orchestration technologies (e.g., Docker, Kubernetes) to support scalable and repeatable deployments of AI services., • Apply robust software engineering best practices—version control, CI/CD, code reviews, testing, and automation—to all aspects of the ML lifecycle., • Troubleshoot and optimize ML workflows, from initial development through deployment and production support., • Engage in cross-functional squads, participating in technical discussions, design reviews, and continuous improvement initiatives., • Strong software engineering background, with deep proficiency in Python (and optionally, Go or Java)., • Demonstrated experience deploying and maintaining LLMs (e.g., GPT's, Llama) in production environments., • Familiarity with frameworks and tooling for LLMs and generative AI (e.g., Transformers, LangChain, Haystack, OpenAI, Vertex AI)., • Experience operationalizing ML solutions in cloud-native environments (AWS, GCP, Azure)., • Proficiency with containerization and orchestration (Docker, Kubernetes or similar) for scalable model deployment., • Practical experience with infrastructure-as-code (Terraform, CloudFormation, etc.)., • Understanding of concurrency, distributed systems, and scalable API development for ML-powered applications., • Experience with version control (Git) and CI/CD pipelines., • Strong problem-solving skills, attention to detail, and a collaborative, growth-focused mindset., • Exposure to Retrieval-Augmented Generation (RAG) pipelines, vector databases (e.g., Pinecone, Weaviate, Milvus), and knowledge bases, with familiarity in integrating them with LLMs., • Experience with advanced model monitoring, observability, and governance of LLMs and generative AI systems., • Experience with data engineering or analytics platforms., • Understanding of AI safety, security, and compliance best practices in production., • Enthusiasm for learning and adopting the latest MLOps and AI technologies. #ICB #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking “Markets Portfolio Management group”, you serve as an experienced member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. The Markets Portfolio Management (MPM) group has been created to actively manage the risks, costs and associated size constraints of JPMC retained markets portfolio in an active and connected manner. It supports the strategic agenda of our Markets franchise through a coordinated approach to pricing and management of financial resources. As a member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Job responsibilities • As a Senior member of the team be willing to be business facing and handle time critical demands of Front-office/trading users., • Mentor and supervise junior resources in different regions., • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyses, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to team culture of diversity, equity, inclusion, and respect, • Engage with new and emerging Platform as a Service technologies to deliver first class tooling to MPM business users, • Hands-on practical experience in system design, application development, testing, and operational stability with a minimum of 5+ years of applied experience., • Proficient in coding in one or more languages (preferably Python and Java is a plus), • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Hands on experience in SQL and databases and data warehouses, • Proficient in all aspects of the Software Development Life Cycle along with advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Interest in developing industry trends, especially around data management platforms, • Prior experience in leveraging AWS and data warehouses is a plus., • Previous experience supporting at least one Capital Markets Line of Business, • Strong Python experience, especially in the context of large trade or risk management platforms, • Previous experience using AWS/S3 or other services, • Familiarity with Snowflake/ Data-bricks or other PAAS offerings J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description Nutmeg is a J.P. Morgan company offering award-winning investments, products and digital wealth management services to over 250,000 investors in the UK. We built the business from scratch, with constant innovation a core part of our ethos since the beginning. We aim to provide clients with the best digital investing experience, ensuring digital security and customer satisfaction – meaning you'll have the opportunity to make a real difference. As a DevOps Engineer in the Cloud Infrastructure team, you will be responsible for looking after the heart of what makes Nutmeg the company it is. Operating within the Platform function alongside Security, Architecture and Developer Experience teams, you'll be heavily involved with all our technical infrastructure, from designing, through build and the ongoing operation of a platform running in Kubernetes on AWS. Job responsibilities: • Build and maintain a Kubernetes on AWS platform used by 150+ engineers, • Advocate good practices and principals throughout the engineering function, • Standardise deployment and usage of cloud resources to ease technology adoption and comply with security controls, • 5+ years of professional experience, • Proven track record of building and managing continual automation / deployment / delivery environments, • Proficiency running infrastructure on cloud platforms, such as AWS and GCP, appreciation for their failure modes, and a good understanding of network concepts and fundamentals, • Expertise in managing and maintaining Kubernetes clusters in production, • Strong coding skills (Go/Python preferred), • Excellent knowledge on observability tooling and best practices, • Systems and database experience, with an understanding of the challenges involved in designing and building distributed/microservice environments, • Knowledge or experience of scalable technologies such as Kafka, • A passion for learning new things and experimenting with new technologies #ICBCareers #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Data Engineer - Executive Director on the Core Platform team within Wholesale Credit Risk QR (Quantitative Research), you will spearhead the development and execution of advanced data architectures and strategies supporting the Wholesale Credit Risk domain, create systemic solutions to address data governance mandates and standardize data onboarding pipelines. You must possess technical expertise in distributed systems, big-data technologies and cloud-enabled solutions. Job Responsibilities Strategic Data Architecture Development • Design and implement on-premise and cloud-enabled data architectures for the ingestion, processing and storage of credit risk data, • Oversee the integration of structured and unstructured data sources, enabling predictive modeling and scenario analysis., • Ensure data systems meet regulatory requirements such as Basel III, IFRS9 and CCAR, while maintaining high standards of security and governance, • Establish robust data governance frameworks, focusing on quality, consistency and operational excellence, • Partner with senior risk and business leaders to identify opportunities for leveraging data to inform decision-making, • Extensive experience in data engineering, architecture or analytics roles with a strong focus on banking and financial services, • Proficiency in distributed computing technologies (eg Apache Spark, Databricks), cloud platforms (AWS, Azure, GCP) and data-lake architectures, • Hands-on experience with tools like Hadoop, Delta Lake, Kubernetes, Snowflake and Kafka, • Strong programming skills in Python, Java and SQL with expertise in data pipeline development and ETL processes, • Proven ability to lead cross-functional teams and manage complex data initiatives, • Strong communication skills with the ability to bridge technical and business audiences, • Knowledge of risk methodologies, Wholesale Credit, CCAR, Allowance (CECL/IFRS9), Basel II/III regulatory capital J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platform team, you will play a pivotal role in promoting the Test Engineering Program. This strategic initiative focuses on building robust, intelligent validation frameworks and infrastructure that power our ML and data products. You will architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems, collaborating with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. Job responsibilities • Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure., • Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices., • Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage., • Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack., • Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components., • Build reusable components that support scalability, modularity, and self-service quality tooling., • Mentor junior engineers and influence technical standards across the Test Engineering Program. Required qualifications, capabilities, and skills • Formal training or certification on Computer Science concepts and proficient advanced experience., • 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering., • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries., • Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools., • Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch)., • Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure., • Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred qualifications, capabilities and skills • Exposure to machine learning workflows, model lifecycle management, or data engineering platforms., • Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks)., • Familiarity with banking or financial domain use cases, including data governance and compliance-focused development., • Knowledge of platform security, monitoring, and resilient architecture patterns. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on Cloud Engineering. This team is at the heart of a cutting-edge cloud-native AWS infrastructure that powers the Chase UK bank that is trusted by over 2 million customers. You will be exposed to a wide spectrum of technologies such as Kubernetes clusters, connectivity, databases, kafka clusters, as well as numerous opportunities to create automations to eliminate toil and improve developer experience. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move among squads within the tribe. Job responsibilities • Maintain and improve our AWS cloud infrastructure to ensure the bank's 24/7 operation with a focus on stability, performance, security and compliance, • Maintain and improve stability, security and performance of connectivity for our customers, in-between AWS accounts, as well as in-between Chase and third parties, • Maintain, design and create automation scripts and tooling using a variety of programming languages (Bash/Python/Go) as necessary, • Maintain and build a cloud platform for application developers and provide support to improve their SDLC and developer experience, • Manage and interact with vendors and other areas of the business to plan improvements and coordinate project efforts, • Experience managing public cloud infrastructure using infra-as-code technologies (we use Terraform with AWS), • Strong knowledge and operating experience in at least one CDN provider (such as Akamai/CloudFlare), • Familiarity with network monitoring and diagnostic tools, • Optimize network performance through continuous analysis and improvement of connectivity patterns, • Strong understanding of network protocols, such as TCP/IP, DNS, DHCP, ICMP and VPN, • Experience with configuring and managing reverse proxies (such as Traefik, NGINX, HAProxy, etc), • Good knowledge of Kubernetes clusters' operations (we use EKS), • Good knowledge of programming using a modern language (Java/Python/Go), • Excellent understanding of DevOps principles and SDLC best practices, • Excellent communication and collaboration skills, • Familiar with software engineering security best practices in a cloud environment, • Experience developing unit, integration and end-to-end software tests #ICBCareers #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team The Cybersecurity & Technology Controls group at JPMorganChase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient. High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

Job Description Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Data Engineer - Executive Director on the Core Platform team within Wholesale Credit Risk QR (Quantitative Research), you will spearhead the development and execution of advanced data architectures and strategies supporting the Wholesale Credit Risk domain, create systemic solutions to address data governance mandates and standardize data onboarding pipelines. You must possess technical expertise in distributed systems, big-data technologies and cloud-enabled solutions. Job Responsibilities Strategic Data Architecture Development • Design and implement on-premise and cloud-enabled data architectures for the ingestion, processing and storage of credit risk data, • Oversee the integration of structured and unstructured data sources, enabling predictive modeling and scenario analysis., • Ensure data systems meet regulatory requirements such as Basel III, IFRS9 and CCAR, while maintaining high standards of security and governance, • Establish robust data governance frameworks, focusing on quality, consistency and operational excellence, • Partner with senior risk and business leaders to identify opportunities for leveraging data to inform decision-making, • Extensive experience in data engineering, architecture or analytics roles with a strong focus on banking and financial services, • Proficiency in distributed computing technologies (eg Apache Spark, Databricks), cloud platforms (AWS, Azure, GCP) and data-lake architectures, • Hands-on experience with tools like Hadoop, Delta Lake, Kubernetes, Snowflake and Kafka, • Strong programming skills in Python, Java and SQL with expertise in data pipeline development and ETL processes, • Proven ability to lead cross-functional teams and manage complex data initiatives, • Strong communication skills with the ability to bridge technical and business audiences J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: • Own and lead the enterprise data strategy – across infrastructure, analytics, and AI/ML., • Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists., • Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation., • Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight., • Support responsible AI adoption – working alongside an AI Engineer to build ethical and scalable models., • Define governance frameworks – from access and privacy to data quality, retention, and compliance. What we’re looking for: • Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments., • Technical depth across data engineering, analytics, or data science., • Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI., • Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps., • Comfortable working across finance, risk, and commercial functions., • Experience operating in a regulated environment, ideally with exposure to dual regulation and resilience frameworks. Please note - this role cannot offer VISA sponsorship.

Shape the design system behind a unicorn AI-native SaaS platform, scaling globally at speed. Why This Role? Stax is partnering with a unicorn AI-native SaaS scale-up that’s transforming how organisations use AI. Now they’re building a London engineering hub. Join as a UK founding engineer - hybrid working, high impact, and the chance to shape a category-defining platform from day one. The Opportunity This is a systems-level role at the intersection of design and engineering. You’ll be at the heart of a platform that’s changing how organisations use AI for customer support and product operations. In just four years, the team has: • Pushed browser limits with D3-powered visualisations and real-time dashboards, • Open-sourced client-side analytics on DuckDB, bringing OLAP to the edge, • Built AI-native UIs that feel fast, intelligent, and fun, • Scaled a themeable design system adopted across multiple products and platforms, • Introduced micro-frontends that power independent, high-velocity teams—and let customers embed their own modules directly in the product What You’ll Do • Evolve the design system: tokens, theming, accessibility, visual language, • Build React + Web Component libraries for core + embedded apps, • Advance tooling: Storybook, Chromatic, Figma plugins, • Set standards and governance across design + engineering, • Deliver performant layouts and visualisations at scale, • Mentor peers on accessibility and performance-first development Tech Ecosystem You’ll Shape Design Tokens · Figma API · Storybook · React · Web Components · TypeScript · Tailwind CSS · Vite · NextJS · Jest · Cypress · Playwright What You Bring • 8+ years in large-scale web apps, 2+ in design-system architecture, • Strong perspective on tokens, theming, multi-brand support, • Mastery of React + TypeScript, with library publishing experience, • Accessibility leadership (WCAG, ARIA, keyboard nav, colour contrast), • Fluency in CSS methodologies and testing frameworks, • Excellent communication skills to align design, product, and engineering, • Bonus points for OSS contributions, Figma plugins, or micro-frontend orchestration Culture & Impact • Speed with craftsmanship: fast feedback, continuous delivery, peer reviews, • Performance-first mindset: Core Web Vitals as product metrics, • Inclusive and global: teams across the US, Europe, and India, • Autonomy with accountability: design, guide, measure, iterate, • London hub: hybrid model, build the team and culture from the ground up Why join? Your design system will power products used by some of the world’s most ambitious teams. Join at a moment of hyper-growth and play a defining role in one of the most exciting SaaS platforms in the world. Stax welcomes applications from all backgrounds. Our client unfortunately can't offer visa sponsorship.

Full Stack AI Engineer Logistics: • Remote, • E-commerce, • £450 a day, • Fully Remote Re-architect systems to support agent-based workflows * Build orchestration logic, services, and LLM integrations You have: * Strong Python skills and backend system design experience * Experience with agentic systems, LLM tools (e.g. OpenAI, LangChain), and vector DBs * Bonus: e-commerce, marketing tech, or creative tooling exposure • Full stack Background, • Agentic AI Engineer

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

🚀 Analytics Engineer Manager – London Hybrid 💰 £100-125K Our client, a fast-growing SaaS platform, is on a mission to transform their industry through data-driven innovation. They are looking for an Analytics Engineering Manager to take full ownership of their analytics engineering function, designing scalable data models, optimising transformations, and enabling high-quality insights across the business. As the owner of Analytics Engineering, you will be the bridge between raw data and actionable intelligence. You’ll shape the company’s analytics strategy, partner with stakeholders to understand data needs, and deliver well-modeled, documented, and trustworthy datasets for both internal and customer-facing analytics solutions. You’ll also spearhead the migration to a new self-service BI tool, ensuring the analytics layer is clean, well-structured, and ready to support data-driven decision-making at scale. Working as part of a small, high-impact team, you’ll have the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What We’re Looking For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is your chance to own and shape the analytics function in a high-impact role within a scaling SaaS business. If you’re looking for autonomy, technical leadership, and the opportunity to deliver business-changing insights—this is it! 🚀 You could be a Lead Analytics Engineer, Senior Analytics Engineer, Head of Data leading a small team. Someone with a passion for developing a team and still wants to be a key hands on player. At Cognify we have many AE roles on so please apply even if this one isn’t quite the best fit

Role: Senior Software Engineer. Strong hands-on IAM engineer background with broad expertise across the IAM domain, including tooling, products, protocols, taxonomy, identity management, authentication, authorization and identity federation.

We're looking for a passionate Data Engineer who is experienced with AI tooling - including building Gen AI agents in-product - to join their growing Data Engineering ream. Data Engineer - Award-Winning AI SaaS platform. Work with hundreds of millions of data points daily, using distributed systems

Are you a hands-on Manufacturing Engineer with a passion for process improvement, NPI, and driving innovation in electronics or device assembly?. You’ll take ownership of manufacturing process design and improvement — especially around NPI, tooling and fixtures, Lean/Six Sigma projects,

Reference Code: 179952-en_GBContract Type: PermanentProfessional Communities: Creative & Design Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community—and the world at large. As part of our global frog technology community, you will have the chance to contribute to our Technology strategy, helping to evolve and broaden the solutions that we provide to our clients as well as influencing our strategic technology choices. And we’re one of the few consultancies delivering products to the market! This is a multi-faceted role. It is as much about developing software as it is learning and developing your skills and those of the teams around you. Our environment is flexible, collaborative and varied in the projects we do - we aim for this to be the place where you can do your best work across the telecoms, banking, travel, utilities, and many other industries. As an experienced Senior Full Stack Engineer, you will work within all aspects of solution development, including the overall design and architecture of the technical solution, implementation patterns and code quality, CI/CD pipelines and Cloud infrastructure. You will have the opportunity to work across all stages of the product life cycle: from inception to proof of concept, to full build and test, launching in market, and operating at scale. The scope of our work and sectors is also varied, ranging from building entire ventures to creating brand new online experiences, mobile apps, to creating more experimental 3D immersive experiences for some of the biggest players across the telecoms, banking, travel, utilities, and many other industries. • Demonstrate understanding and experience of delivering beautiful modern digital architectures, including JAMstack and modern headless JavaScript applications., • Work to deliver web UIs & 3D immersive experiences within a multi-disciplinary team alongside Designers, Product Managers, QA and Ops., • Actively and confidently participate in sessions and workshops alongside client teams and stakeholders., • Identify and implement improvements to the way we work, with the instinct to recognise when something isn’t working., • Help improve the development and automation processes for build and release of software., • A strong background in JavaScript (ES6 & TypeScript), DOM scripting, Node.js., • Experience in testing JavaScript code and React component (e.g. Jest, Cypress)., • Experience with modern, CSS(3) styling and layout (framework agnostic) including working with CSS preprocessors and/or CSS-in-JS., • Built, deployed and run Node.js applications and services in production., • Experience integrating with external APIs using REST and/or GraphQL., • Awareness of tooling for UI development, such as Figma, Sketch, Invision etc., • Experience building & shipping production-grade immersive experiences in engines, such as Unreal or Unity., • An eye for detail and passion to make what we create shine. Our products have got to be functionally correct, look great, and be a great experience for people to use. Bonus points if you have any of the following: • Awareness of OWASP secure coding practices, and browser security., • Comfort in advocating DevOps concepts and have experience with tools and technologies that make them possible – CI/CD., • Hands-on experience with SQL, NoSQL databases, or productised options, like Firebase, or Couchbase., • Experience creating AR/VR experiences., • Experience with 3D Design tools such as Blender., • High level understanding of the marketing technology cloud native offerings, common SaaS platforms in the market (e.g. Headless SaaS CMSs, Static Site Generators). Please ensure a link to your portfolio of work is included on your CV and any passwords required are included. frog is a global business with teams working from every corner of the world. To help us process your application, please ensure that your application documents (CV, cover letter, portfolio, etc.) are all in English. We don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing. Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. More information is at available at:

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: • Own and lead the enterprise data strategy – across infrastructure, analytics, and AI/ML., • Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists., • Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation., • Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight., • Support responsible AI adoption – working alongside an AI Engineer to build ethical and scalable models., • Define governance frameworks – from access and privacy to data quality, retention, and compliance. What we’re looking for: • Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments., • Technical depth across data engineering, analytics, or data science., • Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI., • Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps., • Comfortable working across finance, risk, and commercial functions., • Experience operating in a regulated environment, ideally with exposure to dual regulation and resilience frameworks. Please note - this role cannot offer VISA sponsorship.

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

Manufacturing Engineer NW London Are you a hands-on Manufacturing Engineer with a passion for process improvement, NPI, and driving innovation in electronics or device assembly? Join a growing business that blends cutting-edge product development with high-mix, low-to-medium volume manufacturing. You'll work alongside cross-functional teams to optimise processes, support new product launches, and lead continuous improvement initiatives that truly make an impact. You won’t be stuck firefighting here. This is a real opportunity to shape how things are made — from new product launches to smart process improvements in a high-mix, low-to-medium volume manufacturing environment. The role in 60 seconds: You’ll take ownership of manufacturing process design and improvement — especially around NPI, tooling and fixtures, Lean/Six Sigma projects, and structured problem-solving. You’ll work with passionate teams across R&D, Quality, Production and Supply Chain — and see your ideas turned into real-world improvements. Why this might just be your next big move: • You’ll be more than a cog in the wheel — your voice matters here, • You’ll play a key role in bringing new tech from prototype to production, • You’ll leave things better than you found them — and be recognised for it, • You’ll collaborate with sharp, cross-functional teams in a growing, tech-led business, • You’ll be hands-on — not desk-bound What we’re looking for: • 4+ years in manufacturing engineering operating as a Manufacturing Engineer (electronics/device assembly), • Solid NPI and APQP background, • CAD skills (SolidWorks/AutoCAD) for tooling/fixture design, • Comfortable with SMT, hand soldering, test & IPC standards, • Strong problem-solving toolkit (5 Whys, DMAIC, 8D etc.), • Someone who spots waste and sees opportunity Bonus points for: • Lean Six Sigma certification (Green Belt or above), • Familiarity with ISO 9001, 13485, or IATF 16949, • ERP/MES or manufacturing analytics experience If this role sounds like you drop me a message or apply now to learn more

🚀 Analytics Engineer Manager – London Hybrid 💰 £100-125K Our client, a fast-growing SaaS platform, is on a mission to transform their industry through data-driven innovation. They are looking for an Analytics Engineering Manager to take full ownership of their analytics engineering function, designing scalable data models, optimising transformations, and enabling high-quality insights across the business. As the owner of Analytics Engineering, you will be the bridge between raw data and actionable intelligence. You’ll shape the company’s analytics strategy, partner with stakeholders to understand data needs, and deliver well-modeled, documented, and trustworthy datasets for both internal and customer-facing analytics solutions. You’ll also spearhead the migration to a new self-service BI tool, ensuring the analytics layer is clean, well-structured, and ready to support data-driven decision-making at scale. Working as part of a small, high-impact team, you’ll have the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What We’re Looking For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is your chance to own and shape the analytics function in a high-impact role within a scaling SaaS business. If you’re looking for autonomy, technical leadership, and the opportunity to deliver business-changing insights—this is it! 🚀 You could be a Lead Analytics Engineer, Senior Analytics Engineer, Head of Data leading a small team. Someone with a passion for developing a team and still wants to be a key hands on player. At Cognify we have many AE roles on so please apply even if this one isn’t quite the best fit

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: • Own and lead the enterprise data strategy – across infrastructure, analytics, and AI/ML., • Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists., • Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation., • Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight., • Support responsible AI adoption – working alongside an AI Engineer to build ethical and scalable models., • Define governance frameworks – from access and privacy to data quality, retention, and compliance. What we’re looking for: • Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments., • Technical depth across data engineering, analytics, or data science., • Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI., • Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps., • Comfortable working across finance, risk, and commercial functions., • Experience operating in a regulated environment, ideally with exposure to dual regulation and resilience frameworks. Please note - this role cannot offer VISA sponsorship.

🚀 Analytics Engineer Manager – London Hybrid 💰 £100-125K Our client, a fast-growing SaaS platform, is on a mission to transform their industry through data-driven innovation. They are looking for an Analytics Engineering Manager to take full ownership of their analytics engineering function, designing scalable data models, optimising transformations, and enabling high-quality insights across the business. As the owner of Analytics Engineering, you will be the bridge between raw data and actionable intelligence. You’ll shape the company’s analytics strategy, partner with stakeholders to understand data needs, and deliver well-modeled, documented, and trustworthy datasets for both internal and customer-facing analytics solutions. You’ll also spearhead the migration to a new self-service BI tool, ensuring the analytics layer is clean, well-structured, and ready to support data-driven decision-making at scale. Working as part of a small, high-impact team, you’ll have the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What We’re Looking For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is your chance to own and shape the analytics function in a high-impact role within a scaling SaaS business. If you’re looking for autonomy, technical leadership, and the opportunity to deliver business-changing insights—this is it! 🚀 You could be a Lead Analytics Engineer, Senior Analytics Engineer, Head of Data leading a small team. Someone with a passion for developing a team and still wants to be a key hands on player. At Cognify we have many AE roles on so please apply even if this one isn’t quite the best fit

2 weeks ago Be among the first 25 applicants At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive. That's why, since 2016, we've been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force - they're at the heart of everything we do. We've sold tens of millions of policies so far, and raised over $200 million in funding. And we're only just getting started. About the role We're looking for a Staff Backend Engineer to join Zego as one of our most senior individual contributors. This is a hands-on technical leadership role where you'll drive architectural decisions, set engineering standards, and shape the technical direction of some of our most important systems. You'll operate across multiple squads, collaborating closely with Engineering Managers, Tech Leads, and cross-functional stakeholders. As a Staff Engineer, your influence spans both deep technical execution and broad strategic input- you'll be expected to contribute to business-critical decision-making, guide complex delivery, and mentor engineers across teams. Your primary focus will be Zego's Python-based backend systems, though you'll also support our Machine Learning initiatives and may partner with our Scala and Mobile teams depending on your interests and experience. This is a rare opportunity to play a foundational role in defining what great technical leadership looks like at Zego. What you will be doing Own architecture and technical strategy across multiple squads, making sound, scalable decisions and seeing them through from whiteboard to production. Solve complex technical challenges end-to-end, often building the most critical parts of the system yourself to lead by example. Set the engineering bar for design, implementation, testing, reliability, and scalability across teams. You'll define and champion technical excellence. Collaborate deeply with stakeholders across Product, Data, Strategy, and Business to align on priorities and ensure technical plans support wider business goals. Mentor and coach engineers and tech leads, providing both technical and leadership guidance to help them grow. Act as a multiplier{{:}} bring clarity to ambiguous problems, unblock teams, and help others make sound decisions through deep technical context and crisp communication . Contribute to company-wide technical standards, identifying opportunities to improve processes, practices, and tooling that benefit the entire engineering org . About yo uImpact-orientated{{:}} You focus on business and user value over pure technical output. You care about measurable outcomes and strive to make the biggest difference with your wo rkHands-on Technical Depth{{:}} You have deep experience building scalable distributed systems, ideally in Python or a mix of statically and dynamically typed languages. You write high-quality, production-ready code and have strong instincts around architecture, observability, and system des ignLeadership Without Authority{{:}} You've led technical direction across multiple teams or orgs, driving alignment without needing formal reporting lines. You elevate the work of others through mentoring, feedback, and example-set tingStrategic Partner{{:}} You're as comfortable talking to senior product and business leaders as you are reviewing pull requests. You proactively spot opportunities to improve both what we build and how we bui ld itCurious and Growth-Minded{{:}} You're excited by areas you may not be an expert in yet (e.g. ML systems, mobile integration) and seek to expand your influence by learning and partnering with othersBuilder's Mentality{{:}} You enjoy diving deep into code, systems, and product to understand trade-offs and unblock teams. You're hands-on, pragmatic, and not afraid to shipAI- You will be someone who's actively curious about how AI can enhance your work - keen to experiment, learn quickly, and apply tools that improve productivity, streamline tasks, or unlock new ways of thinking. Whether you're already hands-on or fast building confidence, you take ownership of staying ahead and working s marter What's it like to work a t Zego?Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary t hings.We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins eve ry day.Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever yo u want.You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance m atter.How we workWe believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we're flexible - some people prefer being in once a month or even quarterly. It's all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balanceOur approac h to AIWe believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do i t well.B enefitsWe reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for sta rters!There's more to Zego than just a job - Check out our blog for insights, stories, an d more.We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. About us At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive. That's why, since 2016, we've been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force - they're at the heart of everything we do. We've sold tens of millions of policies so far, and raised over $200 million in funding. And we're only just getting started. About the role We're looking for a Staff Backend Engineer to join Zego as one of our most senior individual contributors. This is a hands-on technical leadership role where you'll drive architectural decisions, set engineering standards, and shape the technical direction of some of our most important systems. You'll operate across multiple squads, collaborating closely with Engineering Managers, Tech Leads, and cross-functional stakeholders. As a Staff Engineer, your influence spans both deep technical execution and broad strategic input- you'll be expected to contribute to business-critical decision-making, guide complex delivery, and mentor engineers across teams. Your primary focus will be Zego's Python-based backend systems, though you'll also support our Machine Learning initiatives and may partner with our Scala and Mobile teams depending on your interests and experience. This is a rare opportunity to play a foundational role in defining what great technical leadership looks like at Zego. What you will be doing Own architecture and technical strategy across multiple squads, making sound, scalable decisions and seeing them through from whiteboard to production. Solve complex technical challenges end-to-end, often building the most critical parts of the system yourself to lead by example. Set the engineering bar for design, implementation, testing, reliability, and scalability across teams. You'll define and champion technical excellence. Collaborate deeply with stakeholders across Product, Data, Strategy, and Business to align on priorities and ensure technical plans support wider business goals. Mentor and coach engineers and tech leads, providing both technical and leadership guidance to help them grow. Act as a multiplier{{:}} bring clarity to ambiguous problems, unblock teams, and help others make sound decisions through deep technical context and crisp communication . Contribute to company-wide technical standards, identifying opportunities to improve processes, practices, and tooling that benefit the entire engineering org . About yo uImpact-orientated{{:}} You focus on business and user value over pure technical output. You care about measurable outcomes and strive to make the biggest difference with your wo rkHands-on Technical Depth{{:}} You have deep experience building scalable distributed systems, ideally in Python or a mix of statically and dynamically typed languages. You write high-quality, production-ready code and have strong instincts around architecture, observability, and system des ignLeadership Without Authority{{:}} You've led technical direction across multiple teams or orgs, driving alignment without needing formal reporting lines. You elevate the work of others through mentoring, feedback, and example-set tingStrategic Partner{{:}} You're as comfortable talking to senior product and business leaders as you are reviewing pull requests. You proactively spot opportunities to improve both what we build and how we bui ld itCurious and Growth-Minded{{:}} You're excited by areas you may not be an expert in yet (e.g. ML systems, mobile integration) and seek to expand your influence by learning and partnering with othersBuilder's Mentality{{:}} You enjoy diving deep into code, systems, and product to understand trade-offs and unblock teams. You're hands-on, pragmatic, and not afraid to shipAI- You will be someone who's actively curious about how AI can enhance your work - keen to experiment, learn quickly, and apply tools that improve productivity, streamline tasks, or unlock new ways of thinking. Whether you're already hands-on or fast building confidence, you take ownership of staying ahead and working s marter What's it like to work a t Zego?Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary t hings.We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins eve ry day.Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever yo u want.You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance m atter.How we workWe believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we're flexible - some people prefer being in once a month or even quarterly. It's all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balanceOur approac h to AIWe believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do i t well.B enefitsWe reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for sta rters!There's more to Zego than just a job - Check out our blog for insights, stories, an d more.We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries Technology, Information and Internet Referrals increase your chances of interviewing at Zego by 2x Get notified about new Back End Developer jobs in London, England, United Kingdom . 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At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! Calling Trailblazing Senior Data Engineers! Do you have a keen interest in problem-solving and experience with keeping data landscapes optimised? Trustpilot is seeking a highly skilled Senior Data Engineer to join our team! The Task Awaits: As a Senior Data Engineer in Data Governance and Compliance, your mission is to implement a concrete governance framework that ensures our data is trustworthy, compliant, and easily accessible. You will be a key contributor at the intersection of technology and policy, bridging the gap between Legal, Engineering, and Data teams. Your skills will directly contribute to our commitment to data responsibility and enhance our data processes for future developments. Your role as a Senior Data Engineer: Help to design and implement our data governance strategy, translating high-level concepts into technical solutions. Drive data ownership and accountability across engineering teams. Design and implement scalable pipelines and tooling to automate data governance policies (e.g., PII tagging, data classification, and lineage). Provide clear guidance and implement the "paved paths" for data quality and compliance, enabling teams to be empowered. Support the identification and approach to optimising existing data for improved quality and compliance. Stay current on industry trends, emerging technologies, and best practices to continuously improve our data processes and position. Coach and mentor less senior engineers on best practices. Ideal Qualifications: Demonstrated ability to design and implement technical projects from inception to deployment, including architecture design and scaling. Deep focus on software engineering with a concentration on data-centric systems. Experience in a data governance or data compliance-focused role. In-depth knowledge in public cloud (AWS, GCP). Extensive proficiency in SQL and experience with at least one programming language such as Python, Java, etc. Comprehensive understanding of data engineering tooling, including but not limited to BigQuery, Kafka, Airflow, Airbyte, and DataHub. Great stakeholder management, communication, and teamwork skills. What's in it for you?: A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career Our Commitment to Diversity & Inclusion: At Trustpilot we want to create a welcoming atmosphere of belonging, for every Trustie, where you don’t need to 'fit in', you can just be you, your true self. A place where you’re treated fairly, your perspective is valued, and you’re empowered to do the best work of your life. Trustpilot is committed to this vision. We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. Join us in advancing a more inclusive tech industry! Still not sure? We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We're keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don't worry if you're looking at this job description and feel like you don't meet all the requirements, we'd still really like to hear from you! #LI-JC1 About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. #J-18808-Ljbffr

The Mission At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That’s why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win-win for birds, farmers, the environment, and people everywhere. Today, we’re watching 60 million chickens a year. We believe we are setting the standard for animal welfare and smart farming - and we’re just getting started. The People We’re a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day: Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion. Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what’s possible in poultry farming. Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other’s strengths to revolutionise farming. Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can’t live without. This is an exciting moment of growth for FLOX - and we’re looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives. The role We are currently seeking a Senior Platform Network Engineer to work directly under our CTO in our office in London. This role sits in the Engineering Team, and you will report directly to the Senior Engineering Manager. We’re a growing start-up with plenty of room for progression and making the role your own. Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description. What you will be doing: Network Infrastructure: • Own the entire networking stack: edge hardware, VPN configurations, cloud networking, on-premises and edge deployments, while ensuring comprehensive security for FLOX, its customers and stakeholders, • Lead network hardware specification, qualification, configuration and deployment across diverse agricultural environments, • Operate monitoring systems to ensure network uptime and performance, responding to issues through established incident management processes, • Conduct remote and on-farm network debugging and issue resolution, collaborating on root cause analysis and implementing systematic improvements, • Develop comprehensive scalability plans for our global network of systems and devices, aligned with ambitious international growth objectives, • Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans, • Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans, • Configure and maintain load balancers, network switches, routers, and wireless infrastructure for farm deployments Platform Engineering: • Design and implement infrastructure-as-code solutions for automated network and platform deployments, • Define and maintain scalable data pipelines to process multimodal inputs including video, sensor data and structured metadata from network edge devices, • Build internal tools, diagnostics and platform APIs that empower product delivery teams to operate reliably and self-serve common workflows, • Develop automated systems to detect network and platform anomalies, including connectivity issues and ingestion breakdowns, with escalation workflows, • Work cross-functionally with Computer Vision, DevOps and Product colleagues to align platform capabilities with product goals and ensure reliable integration points, • Optimise platform architecture for high availability and fault tolerance through resilient patterns and failover mechanisms that complement network redundancy, • Lead the development of infrastructure for deploying and monitoring edge applications and services across the distributed network, • Collaborate with tech leads on incident response, architectural reviews and decision-making to drive continuous improvements in platform reliability We would love to meet you if you have all or some of these requirements: • Understanding of networking protocols: TCP/IP, BGP, OSPF, VLAN, STP, LACP, • Experience with switches/routers from Cisco, MikroTik, Netgear, Ubiquiti (or equivalent), • Experience with wireless deployments (Wi-Fi 6/6E) and resilient WANs (Starlink, cellular backup), • Experience with PoE systems and fibre: PoE+/PoE++, extenders, CAT5/5e/6 cabling, single/multi-mode fibre, • Experience with IoT gateways and messaging: BLE gateways, MQTT, • Understanding of storage/compute for edge AI: local storage for model training, ZFS, RAIDs, NFS, • Experience with security controls: firewalls, VPNs, NAT gateways; understanding of zero-trust and ACLs; experience with Keycloak and NGINX reverse proxy, • Experience with Python and FastAPI; understanding of data/messaging systems: Kafka, MySQL, MongoDB, PostgreSQL, • Experience with containers and orchestration: Docker; Kubernetes networking and service mesh; RKE2, • Experience with streaming protocols: RTMP, WebRTC, HLS, MPEG-DASH, • Experience with monitoring/telemetry: Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters, • Experience with CI/CD and automation: Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD, • Experience with cloud platforms: AWS (primary), with GCP/Azure exposure, • Experience with MLOps/data tooling: DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouses What we can offer you: • Up to 65k p.a. depending on experience and location, • Flexible working, • Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like, • Exposure to state-of-the-art technologies, • A young and international work environment, • Travel within the UK & potentially into the US and LATAM, • A chance to work with well-respected experts, including AI and robotics We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Lead DevOps Engineer (SC Cleared - Active) Location: UK-based, Fully aRemote Iadeally visitas to London Office Clearance: Active SC Clearance required Contract Type: Full-time Sector: Government / Cybersecurity / Identity & Access Management Platform: SailPoint & wider IAM services ?? Join a Mission That Matters Are you a skilled Lead DevOps Engineer with a passion for Identity and Access Management (IAM) and a strong background in product delivery? Do you want to make a measurable impact in reducing cyber risk across the Home Office by supporting the evolution of its IAM platform? We're looking for a Lead DevOps Engineer to take ownership of the development and delivery of our strategic product roadmap for the IAM platform (SailPoint) -alongside other supporting systems that bolster our cyber defence posture. ?? Your Role: Building, Leading, Delivering As the Lead DevOps Engineer, you'll lead the design and development of new functionality, tools, and monitoring solutions that enhance the IAM platform's reach and capabilities. You'll collaborate with cross-functional teams to ensure the seamless delivery of services that directly reduce the risk of internal cyber threats. This role combines technical leadership , CI/CD oversight , and strategic platform engineering -with a strong focus on modern DevOps practices and secure service delivery. ?? What You'll Do Deliver against a clearly defined product roadmap for the IAM platform Lead the design, build, and implementation of secure DevOps products and services Introduce new monitoring capabilities and support tools for enhanced reporting and security Drive improvements in CI/CD pipelines, ensuring efficient and secure deployments Support engineering teams in discovery, service topology, and QA pipeline definition Identify and mitigate delivery risks, ensuring platform resilience and security best practices Drive adoption of new tools and methods across technical teams Maintain alignment with accessibility, GDS service standards, and community practices Ensure new products are seamlessly transitioned into live service ?? What You'll Bring Active SC Clearance (mandatory) Proven experience leading DevOps initiatives and delivering technical product roadmaps Hands-on experience with IAM platforms (SailPoint highly desirable) Skilled in platform development and support, including base container hardening Strong Agile experience and familiarity with Agile ways of working Excellent understanding of CI/CD pipelines, infrastructure as code, and modern DevOps tooling Demonstrable experience in reducing cyber risk through secure systems delivery Ability to engage with senior stakeholders and advise on delivery strategy and design constraints ?? What We Offer Work at the forefront of national security and cyber resilience Autonomy to shape how DevOps supports identity and access security Collaborative, mission-driven environment with like-minded professionals Flexible working arrangements Opportunities for continuous learning and professional growth People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas. TPBN1_UKTJ

Overview Expleo is a leading Global Engineering Services Provider with UK presence in 10 locations. We are seeking an Electronics Engineer to provide data analysis support to the manufacturing function of our client's facility which delivers cutting edge defence products. The successful candidate is expected to be conversant with the latest tooling, techniques, technology & automation deployed in the assembly and test of advanced electronics & Electromechanical sub-assemblies & products. The role is expected to be Hybrid with attendance at the client site in Bolton. The successful candidate should ideally have experience in products for high reliability applications. We are looking for an energetic and driven engineer with broad expertise, however of particular interest would be candidates with (in order of priority) defence, aerospace, military, marine or rail experience. This role represents a great opportunity to work on improving the delivery of cutting-edge defence technology products, contributing to the security of the UK and our allies. Valued attributes are a team player who can use their initiative and has a real passion for engineering with an attention to detail, combined with a thorough, methodical approach to problem solving. Responsibilities Analyse complex datasets across various stages of the electronics production lifecycle Identify trends, anomalies, and opportunities for improvement in manufacturing processes, testing outcomes, and supply chain data Develop and implement data-driven strategies to enhance production efficiency, minimize waste, and improve product reliability Collaborate with engineering, production, and quality assurance teams to translate data insights into practical improvements Design and build intuitive dashboards and reports to effectively communicate data findings to both technical and non-technical audiences Continuously seek ways to improve data collection methods, analytical tools, and overall data management practices within a low-volume production setting Support the development and execution of performance measurement frameworks across different production areas Provide guidance and mentorship to less experienced team members within the data analysis function Qualifications Degree level qualification in Electrical/Electronic Engineering. A lower qualification would be acceptable for example HNC/HND should the candidate be able to demonstrate significant demonstrable experience in lieu Essential skills Strong verbal and written communication skills, with the ability to tailor messaging for diverse audiences across all levels of the organisation A detail-oriented and methodical approach to work, ensuring high standards of quality and accuracy Solid understanding of electronics assembly processes, including soldering, circuit board assembly, testing, and packaging Familiarity with materials used in electronics and their impact on manufacturing processes Proficiency in analysing production data to identify patterns, troubleshoot issues, and support informed decision-making Ability to collaborate effectively within cross-functional teams to achieve shared project objectives Competence in interpreting and producing technical documentation, such as schematic diagrams, engineering reports, and test reports Capacity to identify, evaluate, and implement practical and innovative solutions to complex manufacturing challenges Desired skills Electronic Engineering, Manufacturing expertise required Knowledge of methodologies like Six Sigma, Kaizen, and Lean Manufacturing to improve efficiency and reduce waste. Awareness of health and safety regulations and environmental standards relevant to the electronics industry What do I need before I apply UK sole National SC Cleared Ability and willingness to travel to and work on the client site at Bolton 3/4 days per week Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible Communicating and promoting vacancies Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people 'We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age'. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive TPBN1_UKTJ

Engineering Manager - London (Hybrid) up to £120k + Benefits - AWS, TypeScript, React, Next.js, CI/CD We're looking for a hands-on Engineering Manager to join a fast-growing HRTech / SaaS scale-up. Offering hybrid working from London and a salary up to £120k, this role combines technical leadership with hands-on engineering across a modern stack: AWS (Lambda, Step Functions, DynamoDB, Postgres, CDK), TypeScript, React, Next.js, Jest, Playwright, CI/CD and observability tools. You'll help establish and grow the Core Services team, building scalable architecture, developer tooling, and platform services that power multiple product squads. Expect around 70-80% coding and architecture with 20-30% management, reporting directly to the CTO. Over time, you'll grow and mentor a team of up to seven engineers while shaping the company's engineering culture and technology choices. This is a unique opportunity to own a high-impact function, influence strategy, and work with cutting-edge technologies in a mission-driven environment. You'll be part of a scale-up that's reimagining how global teams are built, backed by excellent benefits including share incentives, private healthcare, hybrid flexibility, pension and childcare schemes, and a 4-week work from anywhere policy. Apply now with your CV via the application process, and Nathan Laidlaw at Transparent Tech will be in touch to discuss. Engineering Manager, Software Engineering Manager, Technical Lead, Senior Full Stack Engineer, Staff Engineer, AWS Lambda, AWS Step Functions, AWS DynamoDB, AWS Postgres, AWS CDK, TypeScript, React, Next.js, Jest, Playwright, CI/CD, DevOps, Observability, Monitoring, SaaS, HRTech, Hybrid Jobs London, Remote, Scale-up, Scalable Architecture. TPBN1_UKTJ

Senior Backend Developer Location: London - 1x a month Salary: Up to £95,000 (D.O.E) + benefits Fruition Group working with a leading Insurtech unicorn on a mission to transform the insurance industry. Their products have already generated millions in revenue, and now they're investing heavily in new innovations that will shape the sector for years to come. This is an exciting opportunity for a motivated Senior Engineer who wants to grow in a high-performing, forward-thinking business. As a Senior Backend Engineer, you'll play a central role in building and scaling the systems that power their insurance platform. You'll focus on developing Python-based cloud microservices (FastAPI preferred), contributing to the architecture of resilient, high-performance systems, and collaborating with a cross-functional team to deliver features at pace. This is a hands-on engineering position with plenty of scope to influence technical direction, improve processes, and grow your expertise in distributed systems. What will I be doing: Design, develop, and maintain Python microservices (FastAPI) running in production. Take ownership of features end-to-end, from design to deployment and monitoring. Write high-quality, testable code with a focus on scalability and resilience. Collaborate closely with engineers, product managers, and designers to deliver quickly. Contribute to evolving architecture, tooling, and CI/CD practices. What experience do I need: Strong background in Python development (FastAPI, Flask, or Django). Good knowledge of microservices, APIs, and cloud-based infrastructure. Experience with SQL and NoSQL databases, Git, and CI/CD workflows. Solid engineering fundamentals - data structures, OOP, debugging, and testing. Collaborative, curious, and eager to experiment with AI tools to improve productivity. If this position sounds of interest, please apply and a member of the team will be in touch to discuss further. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. TPBN1_UKTJ

FinOps Engineer – Remote Occasional travel to London or Derbyshire Offices £55,000 - £65,000 FinOps, Azure, Cloud Licensing, Cost Optimisations, Forecasting & Budgeting Tooling Role Summary We are seeking a highly motivated FinOps Engineer to lead the efficient and cost-effective management of our Azure-based cloud infrastructure. This strategic role involves continuous monitoring of cloud expenditure, implementing cost optimisation initiatives, and championing financial accountability across the organisation. Key Responsibilities Cloud Spend Monitoring – Track and analyse Azure cloud usage and spending data to uncover cost-saving opportunities Cost Optimisation Strategy – Design and implement initiatives such as right-sizing, resource tagging and decommissioning unused assets Cross-Team Collaboration – Partner with finance, operations and technology teams to foster financial responsibility and transparency FinOps Tools Deployment – Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting – Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection – Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation – Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education & Training – Advocate best practices across development teams on cost awareness and optimisation techniques Azure Policy Implementation – Apply and manage Azure Policy controls to enforce governance standards and cost control protocols Regulatory Responsibilities Comply with relevant regulatory standards including CQC , GDP , NMC , GPhC and ICO Chair or attend relevant governance committees in line with role remit Maintain awareness of and adhere to responsibilities relating to Infection Prevention and Control Technical Skills and Experience Cloud Expertise - Extensive hands-on experience managing cost-efficient Azure infrastructure AWS Exposure - Familiarity with AWS platforms is a plus Forecasting & Budgeting - Proven ability to model and manage accurate cloud financial forecasts Collaborative Approach - Track record of working across insourced/outsourced teams across diverse geographies FinOps Background - Previous experience in FinOps roles with deep understanding of cost optimisation strategies Certifications - Azure certifications (e.g. AZ-104); Power BI credentials are advantageous Governance Tools - Experience deploying and managing Azure Policy for cost control and compliance For immediate consideration please apply now! TPBN1_UKTJ

Principal GCP Solutions Architect / Engineer (UK Remote) c£120,000 (D.O.E) + benefits UK Wide Fully Remote Would you be interested in joining one of the highest regarded Tech Consultancies in the UK and Europe for delivering Cloud migrations and modernisations? This is an opportunity to join a GCP start-up, with the backing of a multi-billion £ business with the best people in technology. Everyone in the business operates at Senior Level, having the perfect blend between Architecture/consulting and hands-on implementation with Terraform/Kubernetes/Serverless and whatever DevOps tooling works for the job. This is high impact work, you'll be making a real difference to the customers they work with. This business is known in the UK for being the number 1 supplier for AWS for SMBS. They're now ramping up on the GCP side with a plan to take over the country in this space too. If you want to be kept busy and continuously learn alongside some of the industries best, look no further. Your role: GCP- Designing and building all aspects of the infrastructure utilising modern cloud native technology Working closely with customers to complete requirements Supporting the sales team in pre-sales discussions to hammer home the value of GCP solutions. Tech Skills needed: GCP Terraform Kubernetes Package: c£120,000 base salary (D.O.E) 25 days holiday + bank holidays Private health care Location: Your home - With the option to visit their office in London whenever you desire Apply now, or contact for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age TPBN1_UKTJ

An ambitious consumer start-up brand is looking to recruit a Senior Design Engineer to help take their flagship product from advanced prototype to global production-and lead the development of future products that challenge convention and deliver real impact. Based in London, you will benefit from a starting salary of up to £70k plus equity and the opportunity to be at the start of an exciting new sustainable product. As Senior Design Engineer, you will play a pivotal role in finalising product design for manufacture and assembly, while shaping the roadmap for future innovations. Responsibilities will include; Leading end-to-end product development from concept to production. Refining designs for tooling release and efficient manufacturing. Benchmarking user experience and optimising consumer touchpoints. Transitioning R&D into scalable production systems. Collaborating in-office with the engineering team, with occasional travel to the contract manufacturer in China. Key skills needed for the Senior Design Engineer: Highly experienced in product development with a strong engineering or technical background. Deep curiosity for how things work-and how they could work better. Proven track record of bringing products to market. Passion for user-centred design and elegant engineering solutions. Expertise in Solidworks. Fluency in DFMA and DFMEA methodologies. Self-starter mindset and sleeves-rolled-up attitude. Collaborative spirit and respect for team dynamics. As a Senior Design Engineer, you'll be expected to bring not only technical expertise but also creativity, ownership, and finesse to every stage of the development process. In return you will receive an excellent benefits package which includes: Up to £70,000 basic salary. Company equity options. Relocation bonus. Pension scheme enrolment. Excellent career opportunities. The opportunity to build products that make a real difference in people's lives This is a fantastic opportunity to join an exciting start-up where you can help shape the future of the business. If you are confident in leading projects from design through to production, apply now through this advert. TPBN1_UKTJ

Bring your mechanical design expertise to the forefront as a Product Design Engineer, working on innovative consumer electronics in London. Youll collaborate with specialist teams to solve complex challenges and develop functional prototypes in a fast-paced environment. This 3-month project (scope to extend) offers £320£400/day (outside IR35), hybrid flexibility (23 days onsite), and an immediate start. Scope of the Engagement As a Product Design Engineer, you will provide specialist mechanical design services to progress consumer electronics from concept development through to tooling readiness. Deliver mechanical designs and iterative solutions for consumer electronics. Build and test prototypes to resolve airflow, ergonomics, and mechanical challenges. Liaise with China-based teams to support detailed design and DFM. Provide Creo CAD models and clear technical documentation for project reviews. Manage agreed workstreams independently to meet defined project milestones. Key Skills and Experience Required Proven mechanical design experience in consumer products (consumer electronics preferred). Proficiency in Creo; SolidWorks expertise considered where applicable. Strong knowledge of plastic injection moulding and high-volume manufacturing. Demonstrated hands-on prototyping and iterative testing skills. Available to attend site 2+ days weekly, bringing own expertise and tools where appropriate. Rate and Deliverables £320£400 per day (outside IR35, depending on experience). Hybrid: 23 days onsite (Tues/Weds preferred). Creo license and IT equipment provided for project execution. Dynamic, collaborative environment with rapid development cycles. Initial 3-month project with potential for further engagements. This engagement is ideal for a Product Design Engineer who thrives on practical problem-solving and enjoys delivering tangible results in a high-velocity setting. Youll work alongside fellow Product Design Engineers and in-house specialists to bring complex products to life. With autonomy and clearly defined deliverables, this is an opportunity to make a meaningful impact quickly. How to Apply Interested in collaborating? Click the apply button and well be in touch. TPBN1_UKTJ