Reliability engineer jobs in United Kingdom

The Company Wheelfreedom is a Chessington-based provider of mobility equipment including specialist wheelchairs and complex seating solutions, as well as more traditional products such as mobility scooters and rise and recline furniture. We have revolutionised the industry, combining expert knowledge, a modern spacious showroom and a fully-equipped workshop in our Chessington headquarters. We are passionate about the level of service we provide our customers in an industry that has not always been associated with this, and we always strive to go above and beyond our customers’ expectations. Our service makes a transformative difference to people’s lives, and we build lasting relationships with our customers—many of whom stay with us for decades. We aim to be the leader in providing complex clinical and technological solutions that are not otherwise possible within the industry, and our engineering capability is central to achieving this ambition. The Role We are looking for a highly skilled Rehabilitation Engineer to lead the technical evolution of our engineering capability and help establish a level of innovation and quality that goes beyond what is currently available in the industry. This is a highly hands-on, technical role suited to an experienced engineer who enjoys solving complex problems and developing bespoke solutions that make a meaningful difference to people’s lives. You will work closely with our Clinical and Engineering teams to design, develop, and deliver complex mobility, seating, and assistive technology solutions tailored to individual customer needs. Alongside this, you will help drive continuous improvement across our engineering capability, raising technical standards and supporting the development of the wider engineering team. While we are ideally looking for an experienced Rehabilitation Engineer, we are also open to candidates from other engineering backgrounds who can demonstrate strong relevant technical skills, problem-solving ability, and a passion for innovative engineering solutions. Core responsibilities will include: • Technical problem-solving – leading on complex engineering challenges and developing practical, effective bespoke solutions, • Innovation & solution design – designing and adapting mobility, seating, and assistive technology systems to meet highly individual customer requirements, • Clinical collaboration – working closely with our Clinical team to translate complex needs into functional engineering solutions, • Advancing engineering capability – contributing to the development of new tools, techniques, and processes to continually improve the quality and sophistication of our work, • Process and product improvement – refining how we design, build, and deliver solutions to improve performance, reliability, and scalability, • Mentorship and support – helping develop the technical capability of the engineering team through knowledge sharing and mentoring The Person We are looking for an exceptional engineer who thrives on solving technical challenges and pushing engineering boundaries. Ideally, you will have experience within the mobility industry or NHS wheelchair services, although we are also keen to hear from candidates with strong transferable engineering experience from other sectors. To excel in this role, the ideal candidate will fulfil as many of the following as possible: • Relevant qualification (e.g. Rehabilitation Engineering, Biomechanical Engineering, Mechanical Engineering or similar), • Strong hands-on engineering expertise, with a proven ability to design and deliver complex, bespoke solutions, • Experience working with mobility, seating, rehabilitation, or assistive technology products would be highly advantageous, • A natural problem-solver who enjoys tackling unique and challenging cases, • Experience mentoring or supporting the development of other engineers, • Strong communication skills, particularly when working with clinicians and non-engineering stakeholders, • Highly organised with strong attention to detail, • Driven to continuously improve engineering quality, performance, and innovation, • Experience with CAD software and/or 3D printing technologies would be desirable, but is not essential While experience with wheelchairs, seating, and mobility products is preferred, we will also consider candidates from outside the industry who bring exceptional technical ability, creativity, and a strong track record of engineering problem-solving.

We’re seeking an exceptional Head of Engineering / Engineering Manager to partner closely with our CTO and lead the next stage of our engineering organisation. We want a deeply technical leader who still loves to build, leads from the front, and thrives in high-velocity, high-ownership environments. Your mission: build the fastest engineering team on the planet. Who you are: You’re a top-tier engineer with proven leadership experience in fast-moving startups or scaleups. You’re comfortable making imperfect decisions quickly, you’ve built products under pressure, and you know that momentum beats perfection. You might be: • A seasoned engineer who has already stepped into an Head of Engineering / Engineering Manager role at a venture-backed startup, • An ex-founder who has built and shipped products under real pressure, • A startup tech lead who thrives on ownership and bold decisions, • A pragmatic builder who values time-to-value over “the right way” What makes you perfect for this role: • Engineering leadership: You’ve coached and unblocked engineers in high-velocity, high-pressure environments., • Deep technical expertise: You have strong architecture instincts and solid security knowledge, but you’ll cut through complexity to keep shipping., • Startup operator mindset: You’ve taken products from 0→1 or through hyper-growth and know how to build systems that evolve with the company., • Velocity obsession: You believe iteration > perfection, and your instinct is always to get value in front of users as fast as possible., • AI-first: You’re bullish on AI, vibe-coding daily, and always looking for ways to push velocity through AI-assisted workflows., • DevX focus: You obsess over developer experience because you know great tooling = more speed., • Execution focus: Monitoring, observability, and performance aren’t “nice to haves”, they’re how you ship fast without breaking trust. What you'll do • Set the bar for engineering velocity: coaching, mentoring, and unblocking the team every day, • Make architectural and security calls fast, balancing speed with long-term resilience, • Build and own best-in-class developer experience - tooling and workflows that eliminate drag, • Monitor and protect reliability and SLAs, while still moving at startup speed, • Establish a culture where iteration is celebrated and perfectionism is challenged How we work at Lightdash • We build in public. Open source means moving fast with shared context., • We challenge problems, not people. No blame, just solutions., • We’re highly collaborative. Independent, but we win as a team (and with our community)., • We bias hard toward impact. We’d rather ship the wrong thing quickly and learn, than waste weeks polishing what nobody needs. Our tech stack: • Primary: TypeScript, React, Node, SQL, • Frameworks: Express, React-hooks, Redux, RTK, Mantine, • Infrastructure: Docker, GCP, Kubernetes, Tracing, Prometheus While familiarity with our stack is helpful, we value your ability to learn and adapt over specific technical experience. ⚡ We’re deliberately looking for ambitious leaders from startups and high-growth companies. If you want predictability, long roadmaps, and “the right way” over speed, this isn’t the role for you. 👉 Research shows that women and underrepresented groups often don’t apply unless they meet 100% of the requirements. Even if you don’t tick every box, if you have startup experience and a hunger for velocity, we’d love to hear from you.

Senior Analytics Engineer - 12 month FTC £78,000 London (hybrid) This is a rare opportunity to take a lead role in a growing Analytics Engineering function at a pivotal moment in its evolution. You will play a central part in a major Lakehouse programme, combining deep technical ownership with the chance to influence how data is modelled, governed and consumed across the organisation. The Company They are a large, complex organisation making continued investment in their enterprise data platform. Analytics sits at the heart of decision-making, with a clear mandate to expand engineering capability and mature the Lakehouse environment. The team is collaborative, technically ambitious and growing, with strong links across Engineering, BI and the wider business. This role sits within a well-established analytics function that is scaling its engineering remit. The Role • Take ownership of the curated or Gold layer within a Lakehouse architecture, • Design and deliver high-quality, analytics-ready data models that support trusted reporting, • Translate complex business requirements into robust SQL and PySpark transformation pipelines, • Shape how data is structured, modelled and served across multiple domains, • Embed data quality, testing, reliability and performance standards into pipelines, • Contribute to CI/CD and modern engineering best practices within the data platform, • Act as a technical mentor, supporting and guiding other Analytics Engineers, • Work closely with Data Engineers, BI teams and business stakeholders to deliver impact Your Skills & Experience • Strong commercial experience as an Analytics Engineer operating in a modern data platform, • Advanced data modelling capability, including dimensional and semantic modelling, • Strong PySpark development experience within a Lakehouse environment, • Advanced SQL skills for complex transformations, • Hands-on experience with Databricks, including pipelines and governance tooling, • A strong engineering mindset, with a focus on reliability, testing and maintainability, • Proven ability to mentor others and provide technical leadership, • Comfortable operating at the intersection of business and engineering

We are looking for an Autonomous Vehicle Operations Engineer to support the deployment, maintenance, testing, and daily operation of autonomous vehicles. Responsibilities • Perform daily inspection, maintenance, and operational support of autonomous vehicles, • Support software deployment, OTA upgrades, and system updates, • Conduct sensor calibration, system validation, and vehicle quality checks before operation, • Troubleshoot hardware and software issues and assist with vehicle maintenance when required, • Maintain technical documentation, operational records, and maintenance reports, • Support operational process improvement, issue tracking, fault analysis, and reporting, • Work closely with testing, engineering, and operations teams to ensure vehicle readiness and reliability Requirements • Bachelor's degree in Computer Science, Electronics, Automation, Vehicle Engineering, or a related field, • Minimum 3 years of experience in system operations, maintenance, testing, or technical support, • Familiar with Linux operating systems, • Knowledge of Shell, Python, or other scripting languages, • Understanding of ADAS or autonomous driving systems, • Strong troubleshooting and problem-solving skills, • Good communication skills and ability to work in a fast-paced operational environment, • Experience with ROS, robotics, autonomous vehicles, or automotive systems is a plus

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Role: Senior Vendor Software Engineer (Kotlin) DB require two senior, experienced Kotlin engineers to support and extend a cloud‑hosted platform used for bookbuilding issuances across Investment Banking Capital Markets. These roles will join a high‑caliber London front‑office engineering team building a new issuance platform to replace a legacy bookbuilder. This is a hands‑on engineering role with strong emphasis on Extreme Programming (XP) practices, including mob programming, test‑first development, and continuous refactoring. Engineers are expected to contribute across development, integration, and production support, working closely as a team to maintain a high standard of code quality and system reliability. Location: London Required Skills • Strong commercial experience building backend services in Kotlin, • Deep experience with XP practices, including:, • Mob programming as a primary way of working, • Test‑driven development (TDD), • Continuous refactoring and clean code discipline, • Cloud experience in CARE Cloud / GCP, including:, • GKE and / or Cloud Run, • Cloud SQL, Memorystore, • Artifact Registry, Cloud Logging, • Key Management, • CI/CD and SDLC experience in a regulated / enterprise environment, • Comfortable working in production systems with high availability and correctness requirements Role Context & Responsibilities We are building a new issuance platform to replace a legacy bookbuilder. The system is akin to a real‑time trading platform, used by ~1,000 global users who add and remove orders in real time during a tight ~5‑hour execution window. The platform supports issuances totalling over a trillion euros annually. Foundational services are already in place; the focus now is on expanding into core business features such as Sales screens, hedge workflows, and allocation processes. The work is delivered incrementally, with a strong emphasis on small, testable changes, frequent feedback, and sustainable pace. Engineers in this role: • Work primarily in mobs, sharing ownership of design and code, • Build, test, and evolve services with a strong focus on clarity, simplicity, and maintainability, • Support the platform in production, using incidents and defects as opportunities to improve system design and resilience

Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus I’m currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team. This is a strong opportunity for a Data Engineer with 3+ years of experience who enjoys working at the core of a business’s data estate — particularly where there is a need to modernise legacy SQL Server / on-prem data environments into a more scalable Azure-based platform. The role will suit someone who is confident across Azure data engineering, pipeline development, data modelling and stakeholder engagement, and who wants to play a hands-on role in shaping a more modern data infrastructure. There is also the opportunity to support broader AI and LLM-related initiatives over time. The role You will play a key role in helping to evolve and modernise the business’s data environment, with a particular focus on moving away from more traditional / legacy data processes into a more robust, scalable and cloud-based architecture. This role will involve: • Designing, building and optimising scalable ETL / ELT pipelines, • Helping modernise and migrate traditional SQL Server / on-prem data processes into Azure, • Working across Azure Data Factory, Synapse / Fabric, Azure SQL / data lake environments, • Building and improving data models to support reporting, analytics and business decision-making, • Improving data quality, validation, monitoring and overall reliability of core datasets, • Supporting integration work across internal systems, third-party platforms and APIs, • Working closely with business stakeholders to translate operational requirements into scalable technical solutions, • Contributing to reporting and dashboard capability through tools such as Power BI, • Supporting current and future AI / LLM-related projects where relevant What they’re looking for • 3+ years’ experience in Data Engineering or a closely related role, • Strong hands-on experience with SQL and Python, • Experience building and maintaining production-grade data pipelines, • Strong exposure to Azure data services, ideally including tools such as Azure Data Factory, Synapse, Fabric, Azure SQL or Azure Data Lake, • Experience working on or supporting the modernisation of legacy / on-prem / SQL Server-based data environments, • Good understanding of ETL / ELT, data modelling, data warehousing and reporting workflows, • Experience with Power BI, modern data tooling and version control / CI/CD, • Someone comfortable working with non-technical stakeholders and gathering requirements from the business, • Insurance, London Market or insurance broking data experience would be beneficial, but is not essential, • Interest in emerging AI / LLM / AI-assisted tooling is a bonus Package • £70,000–£100,000 base salary, • 30–40% bonus, • Hybrid working, • 33 days holiday, plus the option to buy 5 additional days, • Excellent pension, double matched by the company up to 10% This is a genuinely strong opportunity for a Data Engineer who wants: • real ownership across data platform modernisation, • the chance to work on Azure-based transformation work, • exposure to a complex, business-critical data environment, • a strong overall package and benefits offering, • involvement in both current data engineering priorities and future AI initiatives, • If this looks of interest, please apply with your most up-to-date CV. If this looks of interest, please apply with your most up to date CV

Senior Software Engineer – AI / Agentic Systems London (Hybrid) We’re partnering with a cutting-edge AI startup redefining how intelligent systems operate at scale. Their mission is ambitious: to push the boundaries of agentic AI and build platforms that automate complex, multi-step human workflows—unlocking entirely new levels of productivity. This is an opportunity to join early, work alongside world-class AI talent, and directly shape a platform sitting at the intersection of research and real-world deployment. The Opportunity As a Senior Software Engineer, you’ll play a key role in building and scaling an enterprise-grade AI platform. You’ll operate at the core of the product engineering function—designing systems that power autonomous agents, orchestrate workflows, and enable observability at scale. This is not just another backend role. You’ll influence architecture, mentor engineers, and help define the technical direction of a rapidly growing AI company. What You’ll Be Doing • Own and drive system architecture and long-term technical strategy, • Build high-performance, scalable backend systems powering AI-driven workflows, • Lead design and code reviews, ensuring high standards of quality and security, • Collaborate closely with AI research, product, and infrastructure teams, • Improve system reliability, observability, and scalability, • Mentor engineers and act as a technical multiplier across teams, • Champion best practices, tooling, and engineering excellence, • Proactively identify and resolve technical debt What they are Looking For Core Experience • 5+ years in backend engineering, ideally at Senior level, • Strong experience with Python and/or Golang, • Proven track record building and scaling distributed systems or cloud-native platforms (AWS preferred), • Experience delivering end-to-end solutions in production environments Technical Skills • API development (REST / GraphQL) and third-party integrations, • Strong knowledge of databases (SQL & NoSQL), • Experience with event-driven systems / messaging (Kafka, RabbitMQ, SQS, etc.), • Solid understanding of system design, architecture patterns, and testing frameworks, • Hands-on experience with monitoring, observability, and instrumentation Leadership & Impact • Strong mentoring capability—raising the bar across teams, • Ability to communicate across technical and business stakeholders, • Confident leading complex technical decisions with long-term vision Working Model • Hybrid: 3 days per week onsite (London), • Occasional travel between offices (every 4–6 weeks) Why This Role? • Join one of the most exciting AI startups in Europe, • Work on agentic AI systems at real scale—not just theory, • Collaborate with top-tier engineers and researchers, • Significant ownership and influence from day one, • Strong compensation + rapid career growth opportunities

Senior Full Stack Software Engineer | London | £100,000 - £150,000 | Python | React Location: London-based (hybrid) Salary: £100,000 - £150,000 + equity Tech Stack: • Backend: Python (Flask or FastAPI or Django), • Frontend: React, TypeScript, • Cloud Systems: GCP or AWS Are you a software engineer who enjoys shipping real products, solving tangible customer problems, and seeing your work in production quickly? We are working with a Series A AI technology company building automation software that sits directly in the operational core of key businesses. This is not experimental AI. This is production critical software used daily by hundreds of customers. This is a hands on individual contributor role suited to engineers who want ownership, pace, and impact without layers of process getting in the way. What you will be doing: • Designing, building, and maintaining backend services and APIs using Flask & FastAPI, • Building and evolving user facing web components using React/TypeScript, • Integrating third party services and AI models into production workflows, • Investigating production issues and contributing to root cause analysis, • Collaborating closely with product, operations, and non technical stakeholders, • Participating in code reviews and shaping engineering standards What they are looking for: • Someone who genuinely enjoys building and shipping software frequently, • Strong problem solving ability with a pragmatic engineering mindset, • Comfort owning features end to end from build through deployment, • A bias to action while still caring about scalability and reliability, • Ability to work across the stack or depth in one area with curiosity in others, • Experience with Python based backend systems and modern frontend frameworks They value engineers who focus on outcomes over perfection, who simplify rather than over-engineering, and who take responsibility rather than waiting for instruction. What you can expect: • Meaningful equity, • London based role (hybrid) with regular in person collaboration & opportunities for international travel, • Extensive company benefits This role will suit engineers who want to work close to the product, close to customers, and close to real world impact. If you're looking for ownership, pace, and meaningful software problems, then get in touch at imogen@sr2rec.co.uk!

Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35) Peaple Talent are working with a data consultancy who partner with a range of enterprise clients to deliver modern cloud data platforms. They’re currently looking for a Databricks Data Engineer to support multiple client engagements across large-scale data transformation programmes. 💻 The Role This is a hands-on Databricks Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise scalable data platforms. You’ll be focused on delivering robust data pipelines and analytics-ready datasets using Databricks, working across cloud environments such as Amazon Web Services or Microsoft Azure depending on the client. The work will range from greenfield builds through to modernisation of existing data estates. 🔧 Key Responsibilities • Design and build scalable data pipelines using Databricks, • Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL), • Support migration and modernisation of legacy data platforms into Databricks, • Improve performance, reliability and cost efficiency across data workloads, • Work closely with Data Engineers, Analysts and Architects across client teams, • Implement data quality, governance and best practices across delivery ✅ What We’re Looking For • Strong hands-on experience with Databricks in a Data Engineering capacity, • Solid experience with Spark (PySpark / Spark SQL), • Proven track record building and optimising data pipelines (ETL/ELT), • Experience working within cloud environments (AWS or Azure), • Strong SQL skills and experience working with large-scale datasets, • Familiarity with orchestration tools such as Airflow or similar, • Good understanding of data modelling and distributed data processing concepts, • Comfortable working across multiple client environments and stakeholders 🎁 What’s on Offer • Day Rate: £500–£650 (Outside IR35), • Location: London, • Remote working: 3 days a week onsite, • Initial 6-month contract (strong likelihood of extension), • Exposure to multiple enterprise data transformation programmes, • Opportunity to work across a variety of Databricks implementations within a consultancy environment Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35)

Analytics Engineer required by a global, high-growth multichannel retailer to join a small, high-impact data team The Analytics Engineer will: • Sit at the heart of the data team, bridging engineering rigour with real commercial thinking, • Own data modelling and transformation in dbt, ensuring clean, well-documented, reusable models that power dashboards and reporting across the business, • Manage data ingestion from third-party sources via connector platforms and custom Python scripts, • Optimise our GCP/BigQuery platform for cost, performance and reliability, • Build dashboards and reports end-to-end, taking full ownership of your own use cases, • Champion data quality, testing and governance frameworks across the team, • Work directly with stakeholders across retail, finance, merchandising, ops, growth and e-commerce - translating business questions into well-structured data products We’re looking for someone who combines solid technical skills with the ability to communicate confidently with non-technical people, scope briefs independently and think from a business perspective first. You'll be the only Analytics Engineer in the team, so autonomy and commercial curiosity matter as much as your SQL. What we're looking for: • Experience as an Analytics Engineer, Data Engineer or similar, • Strong SQL skills and hands-on experience with dbt, • GCP and BigQuery experience, • Familiarity with BI tools, • Experience managing data ingestion pipelines, • Excellent stakeholder communication skills - comfortable with technical and non-technical audiences alike, • Retail, DTC or ecommerce background strongly preferred, • Candidates come from roles like The Analytics Engineer will join a growing data team, with a broad impact across the business. You’ll get space to experiment, autonomy to manage your time, and the chance to work on high-impact projects—from day-to-day operations through to cutting-edge AI innovation. Analytics Engineer London / hybrid – 2 days in office c. £75k + bonus + benefits

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: • Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem., • Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets., • Leading the full lifecycle of model development, from research and training to validation and performance benchmarking., • Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware., • Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices., • Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing., • Collaborating with the team to push the boundaries of what's possible in object detection, segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience • 5+ years of hands-on experience in Computer Vision and Deep Learning., • Expert-level proficiency in Python and deep expertise with PyTorch., • Strong practical experience with OpenCV for image and video processing tasks., • Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family., • Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO., • Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment., • A strong portfolio of projects or contributions to open-source AI repositories. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge AI projects and our Ultralytics HUB., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

Python Developer - Fixed Income Trading Technology We are currently recruiting for a Python Developer to join the Fixed Income trading technology team within a leading international Investment Bank. This is a core software engineering role focused on building production trading systems. We are looking for a core Python engineer who enjoys owning components, improving systems, and working closely with the business in a fast-paced trading environment (this is not a quant, data engineering or AI/ML role). You will sit within Front Office Technology supporting the Fixed Income trading desk which develops the core platforms that underpin trade capture, execution workflows, pricing distribution and integration across the trading stack. You will: -Develop production grade object-oriented Python applications -Design scalable, resilient backend services -Improve system performance and reliability -Take ownership of defined components and services -Deliver enhancements and new functionalities -Contribute to design discussions and technical improvements -Work directly with traders and senior technologists -Participate in code reviews and engineering standards -Contribute to testing, CI/CD, and release processes Essential: -Python development experience within a trading environment -Strong OO production Python -Experience building backend or distributed systems -Solid understanding of threading, concurrency, and performance optimisation -Business knowledge of at least one: Fixed Income, FX, Rates This is a PAYE contract via an Umbrella

Company: Albany Beck Location: London (Hybrid) About Albany Beck Albany Beck is a Management Consultancy focused on providing specialist talent and transformative solutions to Financial Services clients. We combine subject matter expertise with innovative delivery models that help clients scale efficiently, while offering meaningful, long-term career opportunities to our people. At Albany Beck, you’ll be joining an organisation that is passionate about capability build, technical excellence, and delivering meaningful change within complex enterprise environments. Role Overview Albany Beck is seeking a Senior SRE Lead / Observability SME to lead the establishment of a new enterprise Site Reliability Engineering (SRE) capability, with a primary focus on designing and implementing a modern observability suite and operational resilience framework. This is a foundational build role, responsible for defining how reliability engineering and observability are structured, measured, and embedded across a complex global technology estate. The successful candidate will play a key role in shifting the organisation from reactive operational support to a metrics-driven, engineering-led reliability model. You will work across infrastructure, platform, and application teams to define standards, implement tooling, and establish operational practices that improve service stability, incident response maturity, and end-to-end visibility across systems. This role is best suited to someone who has helped design or scale SRE and observability capabilities in large, distributed, and regulated environments. Key Responsibilities • Lead the design, build, and rollout of an enterprise-wide observability capability, • Define observability standards, including metrics, logging, tracing, and alerting frameworks, • Establish Site Reliability Engineering (SRE) operating model and engineering practices, • Develop and embed operational resilience and service reliability measurement frameworks, • Design requirements-based architecture for observability and reliability tooling, • Improve incident, problem, and outage management maturity across technology teams, • Partner with infrastructure, platform, and application support teams to embed SRE principles, • Drive transition from reactive operational support to proactive, metrics-driven engineering, • Define and implement service level indicators (SLIs) and service level objectives (SLOs), • Support tooling selection, integration, and optimisation across observability platforms, • Contribute to improving overall operational resilience within a global distributed environment Key Skills & Experience • Proven experience as a Senior SRE Lead, Principal Engineer, or Observability SME in enterprise environments, • Strong background in designing and implementing observability platforms (metrics, logs, tracing, monitoring), • Experience building or scaling SRE capabilities within large, complex organisations, • Strong understanding of operational resilience frameworks and reliability engineering principles, • Experience working in private cloud or hybrid enterprise infrastructure environments, • Strong knowledge of incident management, problem management, and operational maturity models, • Ability to define and implement SLIs, SLOs, and error budgets, • Experience working across distributed global technology estates, • Strong stakeholder management skills with the ability to influence engineering and infrastructure teams, • Experience in transitioning organisations from reactive support models to proactive engineering-led operations, • Strong architectural mindset with experience in requirements-based design for observability solutions Environment • Enterprise SRE capability buildout (greenfield / early maturity stage), • Observability suite implementation across multiple platforms and teams, • Private cloud environment with global distributed infrastructure footprint, • High complexity, multi-team engineering landscape, • Focus on operational resilience and service reliability uplift

Job Title: Senior Generative AI Data Engineer - Financial Services About the Job you are considering: We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale Gen AI-powered data platforms. This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: • Risk analytics & fraud detection, • Regulatory compliance automation, • Document intelligence (KYC, contracts, trade docs), • Customer insights & conversational AI You will work on cutting-edge technologies including LLMs, vector databases, RAG architectures, and cloud-native data platforms, helping organizations unlock value from structured and unstructured data. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Design and build end-to-end Gen AI pipelines using LLMs (Open AI, Azure Open AI, Anthropic), • Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search), • Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques, • Build AI solutions for document processing, compliance, and banking chatbots, • Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms, • Implement batch and real-time data processing with structured and unstructured data, • Deploy solutions on cloud with CI/CD, MLOps tools, and ensure production reliability, • Collaborate with business teams, ensure compliance, and mentor teams on best practices Your Skills: • 7+ years in data engineering or AI engineering with strong Python and SQL expertise, • Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases, • Hands-on with distributed computing (Spark, Databricks) and microservices architecture, • Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms, • Familiarity with DevOps tools (Git, CI/CD, Terraform) and Docker/Kubernetes, • Financial domain expertise in banking, capital markets, or fintech environments, • Knowledge of risk, compliance, KYC/AML, fraud systems, and regulatory workflows, • Strong problem-solving, communication, and stakeholder management skills in agile setups We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you): • You’d be joining an accredited Great Place to work for Wellbeing in 2024. 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, and we have invested in wellbeing apps such as Thrive and Peppy., • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more., • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

Role Summary - Senior AI Engineer Aubay UK is seeking a highly skilled and versatile Senior AI Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering innovative AI capabilities across diverse industries. This role requires both strategic and hands-on technical expertise, with the ability to operate autonomously, evaluate trade-offs, recommend optimal approaches, and own the end-to-end development of impactful AI solutions. The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: • 5+ years of professional experience delivering advanced AI / ML solutions in industry or engineering environments., • Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‑Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone., • Proven hands‑on experience deploying models in production and building scalable AI software., • Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI., • Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients., • Proficiency with cloud compute platforms for training and deployment (Azure, AWS, GCP, or similar)., • Strong communication skills, able to influence architecture decisions and explain complex concepts clearly., • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Desired Skills and Experience: • Background in reliability engineering, corrosion, WRFM (Well & Reservoir Facility Management), advanced sensing, or process engineering., • Experience with downstream customer platforms or trading ERP systems., • Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic., • Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures. Roles and Responsibilities: • Lead the end‑to‑end development, deployment, and delivery of AI and machine learning solutions for enterprise clients, ensuring scalability, reliability, and real‑world impact., • Apply advanced AI techniques—including deep learning, classical ML, graph neural networks, object detection, sensor fusion, vector embeddings, retrieval‑augmented generation (RAG), and generative AI models—to design systems that learn, adapt, and operate autonomously., • Provide strategic architectural guidance on AI systems, ensuring efficient design, cloud‑ready deployment, and alignment with enterprise architectural standards., • Collaborate with multidisciplinary teams (engineering, product, domain experts) to create AI‑driven solutions that automate analysis, enhance decision‑making, and generate actionable insights., • Lead the design and implementation of AI pipelines, including experimentation, model training, evaluation, optimisation, and production deployment., • Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks, helping guide innovation and best practices., • Communicate complex technical concepts to non‑technical stakeholders, providing clear strategic recommendations and architectural oversight., • Ensure all AI solutions meet standards for performance, security, cloud governance, and operational reliability, leveraging modern cloud environments for model training and deployment. Aubay's Take Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies. Benefits from Aubay At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.

About the job hackajob is collaborating with EY to connect them with exceptional professionals for this role. At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: Forward Deployed Engineer EY Grade: Senior Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) — Hybrid working with client-site travel as required. Contract: Permanent, full-time Why EY EY is investing in engineering-led AI at scale. EY has been selected for the inaugural Frontier Firm AI Initiative — a collaboration between Microsoft and Harvard’s Digital Data Design Institute — recognising EY’s leadership in shaping enterprise-grade human–AI operating models. In parallel, EY is expanding its collaboration with OpenAI and Microsoft, bringing advanced AI capabilities to clients through Microsoft’s secure Azure OpenAI Service. Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors. The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will contribute to the design and delivery of AI-enabled systems that operate reliably in enterprise environments. Working within a delivery squad, you will take ownership of defined engineering components and support the development of production-ready AI capabilities. You will work at the intersection of software engineering, product thinking and client delivery, helping translate complex problems into working solutions deployed in real-world environments. In this Senior Consultant role, you will operate as a hands-on engineer within a squad, designing and implementing AI capabilities such as agents, RAG pipelines and supporting services while ensuring solutions meet enterprise standards for reliability, security and governance. What you'll do Client-facing engineering & delivery • Collaborate with client stakeholders and internal teams to understand requirements and translate them into engineering tasks and deliverables., • Contribute to workshops, demos and solution reviews while communicating technical considerations clearly to mixed audiences., • Support the adoption of delivered solutions through testing, iteration and feedback cycles. Solution design & implementation • Design and implement AI-enabled components such as RAG pipelines, agents and supporting microservices., • Integrate solutions with enterprise data sources, APIs and existing platforms while maintaining reliability and security standards., • Apply responsible-AI guardrails, monitoring and operational practices to ensure safe and maintainable deployments. Product mindset & continuous improvement • Contribute to defining MVP scope, engineering tasks and delivery milestones within the squad., • Implement evaluation approaches, monitoring and dashboards to understand system performance and user impact., • Capture reusable engineering patterns and contribute to shared accelerators used across projects. What we're looking for Essential skills & experience • Software engineering: Python and/or TypeScript, async patterns, testing/CI, API design and microservice fundamentals., • RAG engineering: retrieval strategies, chunking/indexing, hybrid search, grounding and hallucination mitigation., • Applied AI/ML: hands-on with LLMs, embeddings and vector databases (FAISS/Milvus/Pinecone)., • LLMOps & evaluation: prompt pipelines, automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML., • Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM., • Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data sources and enterprise systems; runbooks and operational handover., • Product delivery: workshop facilitation, PRDs, user stories and acceptance criteria; backlog ownership; roadmap and release planning., • Measurement: define value/adoption metrics; implement simple dashboards or analysis to evidence impact and inform iteration., • Responsible AI & compliance: privacy‑by‑design, model‑risk, auditability; awareness of UK expectations (FCA, PRA, GDPR)., • Consulting behaviours: client‑ready communication, time management and collaboration in diverse, multi‑disciplinary teams. Nice to have • Document & graph stores (e.g., Neo4j) and streaming patterns (Event Hub/Kafka)., • Azure/AWS Solutions Architect exposure; optional governance/model‑risk/responsible‑AI credentials. Technical Certifications (preferred) • Microsoft Azure AI Engineer Associate (AI‑102) or Azure Data Scientist Associate., • AWS Machine Learning Specialty or Google Professional ML Engineer., • Databricks (Data Engineer/ML Engineer) and Kubernetes (CKA/CKAD)., • Azure/AWS Solutions Architect; optional model‑risk/responsible‑AI governance credentials. How you work • You’re comfortable being hands-on and shipping in short cycles while staying pragmatic about trade-offs., • You can explain trade-offs simply and earn trust with clients and teammates; you operate well in ambiguity and prioritise quickly., • You care about quality, operability and safe iteration (runbooks/observability/rollback). What we offer High-impact work with leading organisations across sectors, within a collaborative engineering-led AI capability. You will benefit from: • Continuous development through the FDE Academy, strengthening the technical capabilities required to build and operate AI systems in production environments., • Opportunities to participate in hackathons, engineering showcases and innovation challenges., • Learning and certification support across cloud, AI and engineering platforms., • Competitive compensation and benefits., • Flexible hybrid working arrangements depending on client needs. Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Service Controller\n\nWembley\n\nAbout Flannery Plant Hire:\n\nWe are a leading provider of plant hire services across the UK. With decades of experience in the industry, we offer an extensive fleet of modern, well-maintained equipment ranging from excavators to dump trucks, all backed by a commitment to safety, reliability, and exceptional customer service. We work closely with clients in construction, civil engineering, and infrastructure, ensuring they have the right tools to get the job done efficiently.\n\nWe are seeking a detail-oriented and highly organized Service Controller to join our dynamic team. The Service Controller will play a crucial role in ensuring the effective and efficient maintenance and repair of our fleet of plant machinery. The successful candidate will be responsible for coordinating service schedules, managing repair requests, liaising with engineers, and ensuring minimal downtime for our equipment.\n\nKey Responsibilities:\n\n· Plan and coordinate routine maintenance schedules for all plant machinery, ensuring timely servicing to prevent breakdowns and maximize equipment uptime.\n\n· Manage and prioritize repair requests, assigning tasks to service engineers based on urgency and availability, and ensuring repairs are completed promptly and to a high standard.\n\n· Monitor and manage parts inventory, ensuring that required parts are available for scheduled maintenance and emergency repairs.\n\n· Act as the main point of contact between site teams, engineers, and management, providing clear and concise updates on equipment status, repair progress, and any potential issues.\n\n· Maintain accurate records of all maintenance and repair activities, including parts used, engineer time, and equipment downtime.\n\n· Ensure all service activities are carried out in compliance with health and safety regulations and company policies.\n\n· Produce regular reports on equipment performance, service schedules, and repair outcomes, identifying trends and areas for improvement.\n\nSkills and Experience:\n\n· Proven experience in a service controller, service coordinator, or similar role within the plant hire, construction, or heavy machinery industry.\n\n· Strong understanding of plant machinery, including maintenance requirements and common repair issues.\n\n· Exceptional organizational and time management skills, with the ability to manage multiple tasks and priorities simultaneously.\n\n· Excellent communication skills, both written and verbal, with the ability to effectively liaise with engineers, site teams, and management.\n\n· Competency in using service management software, scheduling tools, and Microsoft Office Suite (Word, Excel, Outlook).\n\n· Ability to troubleshoot and resolve issues quickly and effectively, minimizing equipment downtime.\n\n· High level of attention to detail, ensuring accuracy in record-keeping and reporting.\n\nWhat We Offer:\n\n \n\n We offer a highly competitive salary and package that reflects your skills and experience.\n\n \n\n Enjoy 24 days plus bank holiday annual leave and personal leave to maintain a healthy work life balance.\n\n \n\n Take advantage of training programs, workshops, and seminars to enhance your skills and advance your career.\n\n \n\n Access to free, confidential support services for personal and work-related issues.\n\n \n\n Join a company that prioritises safety and sustainability, ensuring a safe and Eco-friendly working environment.\n\n \n\n Work with the best and latest plant and machinery in the industry.\n\n \n\n Be part of a supportive and collaborative team that values each member’s contribution.\n\n \n\n Acknowledge and reward outstanding performance and dedication with various recognition programs

Site Reliability Engineer (Security Cleared). Preference for hybrid working between your home, their offices (London Vauxhall) & client sites however fully remote working may be considered for the ideal candidate.

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