Cd jobs in United Kingdom

About The Role Job Level: 9 UK Wide We are looking for a Senior Software Engineer who will be responsible for designing, developing, and deploying high-quality software solutions. You will work on complex software projects, contributing to the architecture, development, and improvement of software systems. This role involves mentoring junior engineers, collaborating with cross-functional teams, and driving the adoption of best practices in software development. Responsibilities Design, develop, and maintain complex software solutions, ensuring they are robust, secure, tested and scalable. Contribute to software architecture decisions, ensuring alignment with project and business goals. Mentor and support junior engineers, helping to develop their skills and promote best practices. Collaborate with cross-functional teams, including product management, UX/UI, DevOps, and QA, to ensure software meets business requirements. Implement and optimise CI/CD pipelines to enhance development efficiency and software quality. Conduct code reviews, providing constructive feedback to enhance team performance and code quality. Troubleshoot and resolve technical issues, ensuring software operates smoothly and efficiently. Stay current with industry trends and emerging technologies, recommending and integrating them where beneficial. Drive improvements in coding standards, testing, and documentation within the team. Engage in early-stage project discussions, providing technical insights and recommendations. Ensure that development processes are followed, and contribute to process optimisation initiatives. Communicate complex technical concepts effectively to non-technical stakeholders. About You Professional knowledge and experience Essential Proven experience in full-stack software development, including design, development, testing, and deployment. Significant hands on experience with Java, Spring Boot and Microservices. Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful delivery. Proficiency in multiple programming languages Experience in central government advantageous Experience in a consulting environment Skills So ftware Development Expertise in writing clean, maintainable code and optimising software for performance and scalability. Ability to design and implement software that meets business and technical requirements. Ensure all key business logic is covered by tests. Code Quality and Testing Proficient in automated testing frameworks and ensuring software is reliable and bug-free. Experience conducting code reviews and maintaining high coding standards within the team. Collaboration and Communication Effective at working with cross-functional teams to deliver project objectives. Strong skills in communicating technical concepts to diverse stakeholders, ensuring understanding and alignment. Continuous Improvement Passion for learning new technologies and improving software development processes. Drive to adopt new tools and methodologies that enhance team performance and software quality. About Us People-Powered Transformation We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we're creating sustainable solutions ready for an ever-evolving world. At the heart of TPXimpact, we're collaborative and empathetic. We're a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That's why we believe in people-powered transformation. Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Benefits Include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave Life assurance Employer pension contribution of 5% Health cash plan Personal learning and development budget Employee Assistance Programme Access to equity in the business through a Share Incentive Plan Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme Financial advice Health assessments About TPXimpact - Digital Transformation We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities. By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact. We're an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview. TPBN1_UKTJ

Document Production Specialist \n US law firm is looking to hire a new late starting Document Production Specialist to work the hours 11am to 7pm plus a very generous salary. \n What’s on Offer: \n\n • Monday to Thursday in office / Friday working remotely\n, • 11am to 7pm working hours\n, • Free meals\n, • Based in the heart of the city\n\n Document Production Specialist/ Workflow Coordinator - What you will be doing: \n\n • Monitoring workflow and ensuring all document requests are processed within required timescales and to the quality and standard required, negotiating deadlines and managing expectations as necessary. Closely liaising with the Secretarial Manager regarding workflow and other issues.\n, • Creating and revising legal documents to Firm’s specifications using the Firm’s latest software and version of MS Office.\n, • Producing financial statements, flow charts, presentations, letters and other documents, marking for cross references, Table of Contents, Table of Authorities, defined terms, and indexing.\n, • Scanning and formatting documents; converting documents to/from different software packages, transcribing tapes, producing mail merge documents, creating closing sets, CD labels and fillable-pdf forms, and preparing document comparisons.\n, • Designing and implementing presentations, multimedia projects, posters, covers, and producing graphics for proposals.\n, • Troubleshooting document issues.\n, • Proofreading work for quality, ensuring accuracy and correct formatting and brand compliance where appropriate.\n\n Document Production Specialist/ Workflow Coordinator- What we are looking for: \n\n • 2+ years Word Processing/Document Production experience from within a law firm\n, • Knowledge of software specific to the legal industry, i.e. iManage, Numbering Schemes, Work\n

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation. Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues. Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers. Job Summary Are you an engineer who measures success by the difference you make to customers, not just the code you ship? We are seeking an exceptional Engineer to play a key role in our dynamic cross-functional Digital Product Team, someone who thinks like a product person and cares deeply about customer outcomes and real-world impact. If you come from a genuine product background and are passionate about Digital products, technology, and driving meaningful outcomes, this is the role for you! CLUK have ambitious plans to modernise their IT (Information Technology) estate, looking to leverage the cloud and automation at every opportunity and change how we fundamentally deliver solutions, transitioning from a Project to Product approach. You will work at every stage of the product lifecycle, from discovery and design, through implementation and testing, to operational support, always with the customer and the outcome in mind. Job Purpose As a Engineer you will have a strong background in full lifecycle software development, combined with a genuine product mindset. You care as much about why we are building something, and the difference it makes, as you do about how it is built. Designing, building, deploying, and supporting software across front and backend stacks Working closely with product managers, designers, and real users to understand problems deeply before jumping to solutions Configuring and maintaining automated CI/CD pipelines and test automation to facilitate a seamless route to production for Azure hosted solutions Developing and supporting environments up to and including production to ensure reliability and quality Measuring the impact of what you build, and using that insight to help decide what to do next You will have a deeply customer-centric mindset: you get close to the people who use our products, validate ideas through research and experimentation, and judge success by customer and business outcomes rather than output. You are comfortable using data, analytics, and feedback loops to form hypotheses, run experiments, and make evidence-based decisions. Duties/Responsibilities Engage fully in the development lifecycle of applications and tools, contributing hands-on from coding to reviewing and releasing to production. Partner closely with product managers, designers, and stakeholders, and stay connected to real users, so that what we build genuinely solves their problems. Focus on outcomes, not just output. Help the team frame problems around customer and business value, validate ideas with experiments and feedback, and measure the impact of releases so we can learn quickly and continuously improve. Take ownership of personal learning paths, continually acquiring new skills to enhance team solutions and individual performance. Implement and refine DevOps practices, balancing responsibilities between development and operations, while actively reducing technical debt and enhancing the automation and reliability of applications. Skills, Knowledge, and Experience You come from a genuine product background: you have worked in product-led teams that own outcomes for real users, and you are motivated by the value you create rather than the volume you ship. You are genuinely customer-centric: you seek direct contact with real users, use research, usability testing, and experiments to validate ideas, and measure success through customer outcomes such as adoption, retention, satisfaction, and task success. You think in terms of impact and outcomes: you are comfortable with product metrics and analytics, forming hypotheses, running experiments (for example A/B tests), and using evidence to decide what to build next. You collaborate naturally with product managers and designers, and you are happy getting involved in discovery and in shaping what we build, not just how we build it. You have developed modern component-oriented front end applications using frameworks and libraries and have a good appreciation of UX (User eXperience). Proficiency in a variety of development technologies, languages, design patterns, and tooling. Our current tech stack is primarily Microsoft / Azure focused; solid C# is necessary. Advocate of key principles such as SOLID and CLEAN code, applying to all areas of development. Keen to write code that is self-explanatory and easy to maintain. We use GitHub Actions and Octopus Deploy for our pipelines, but an understanding of the principles behind CI/CD is more important than the specific tooling you have used. You will have worked in an environment that deploys regularly to production. You have a sound grasp of modern engineering principles and prefer working in small iterations that optimise feedback. You like to validate hypotheses via experiments. You have an awareness of security principles and best practices to ensure secure software delivery. You are committed to continuous learning, staying abreast of evolving industry technologies and trends, and are keen to share and contribute to our community. You have extensive experience working within an agile environment; waterfall projects are a red flag to you. You own change all the way to production, and the idea that a different team would test your work, or that it will not rapidly ship to production, does not sit well with you. You enjoy working with others and contributing to technical excellence as part of an active community. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that's regularly reviewed. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development. How we work at Canada Life Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That's why we offer a range of training, flexible working and opportunities to grow and develop. Diversity and inclusion Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we're making in DEI, and we continue for it to be a significant focus. "At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all." Nick Harding, Chief People Officer, Canada Life UK We appreciate that everyone has different work and life responsibilities. We're happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you. TPBN1_UKTJ

Washroom Service Driver \n Hayes \n £13.84 per hour | £28,784 + Bonus (OTE £29,984) per year | 40 hours guaranteed \n Permanent | Monday to Friday | No scheduled weekends \n The Washroom Service Driver role at phs will involve: \n You’ll follow a pre-planned daily route visiting our customers to: \n\n • Collect feminine hygiene bins and nappy bins within customer premises\n, • Service and replace hygiene products\n, • Complete compliance documentation (digital and paper-based)\n, • Deliver professional and courteous customer service\n, • Return to the depot once a week to unload collected waste\n\n Routes and schedules are centrally planned to ensure efficiency, safety and compliance. \n This is a physically active role suited to someone who prefers being on the move. \n The ideal candidate for a Washroom Service Driver at phs will have: \n\n • Full UK Manual Driving Licence (held 12+ months)\n, • Maximum 6 points (no DR/DD/CD/TT/IN/AC endorsements in last 5 years)\n, • Able to work within a 6am–6pm window (40 hours per week)\n, • Reliable, safety-conscious and professional\n, • Good attention to detail\n\n In return for your commitment and expertise, you will get: \n\n • £28,784 + Bonus (OTE £29,984) \n, • Works out at £13.84 per hour + bonus\n, • 40 hours a week\n, • Overtime opportunities\n, • 13 paydays per year (every 4 weeks)\n, • Company vehicle (for business use)\n, • Virtual GP for you and your household\n, • Buy and sell holiday scheme\n, • Amazing employee discounts with major supermarkets and retailers with ‘phs Perks’\n, • Training to expand your skills. We offer accredited ILM training through external and in-house training\n, • Apprenticeship opportunities\n, • 23 days holiday plus bank holidays (31 days in total) plus a Buy / Sell holiday scheme\n, • Free Parking onsite so no parking costs\n, • Other benefits such as improved parental and paternity leave, a 24-hour wellbeing helpline, cycle to work scheme, pension scheme, life assurance and more…\n\n About phs: \n Phs Group was founded in 1963 and we are the leading provider for Hygiene Services in the UK, Spain and Ireland with over 90,000 customers across 300,000 locations incorporating numerous businesses during its 63 years of business. \n Our businesses include: Washrooms, Healthcare, Floorcare, Phs Direct and Direct 365 (sale of consumables), Phs Greenleaf, Teacrate, Besafe, Wastekit and Compliance. At phs, we pride ourselves on our diverse workforce, and ensuring we have an inclusive environment for all our staff. We remain committed to ensuring our teams can bring their true selves to work without risk or fear of discrimination.

Dustcart Driver \n Salary: Up to £50,000 per annum + Overtime & Bonus Scheme \n Location: Deptford, SE14 \n About Us \n We are an established and growing Waste Management company based in South-East London, providing reliable and efficient commercial waste and recycling collection services to businesses across London and the South-East. \n We pride ourselves on delivering a professional, dependable service to our customers and are looking for experienced drivers to join our expanding Transport Team. \n The Role \n We are currently looking for experienced Dustcart Drivers to join our team in Deptford. \n This is an excellent opportunity for an HGV Class 2 driver who has experience within the waste management industry and is familiar with working across London and the South-East. \n You will be responsible for safely and efficiently completing commercial waste and recycling collections, while providing a professional service to our customers. \n Key Responsibilities \n\n • Operate Dustcart vehicles to collect commercial waste and recycling from business premises across London and Kent\n, • Complete daily collections safely, efficiently and in accordance with scheduled routes\n, • Carry out daily vehicle checks and ensure the vehicle is maintained in a clean and safe condition\n, • Comply with all relevant road safety regulations, transport legislation and company procedures\n, • Complete all required paperwork and electronic records accurately\n, • Report vehicle defects, incidents or operational issues promptly\n, • Maintain a professional and courteous approach when dealing with customers and members of the public\n, • Work closely with the Transport Team and other drivers to ensure collections are completed efficiently\n, • Follow all company Health & Safety and environmental procedures\n\n What We’re Looking For \n\n • Valid HGV Category C Licence\n, • No more than 6 penalty points and no disqualifications within the last 10 years\n, • Valid Driver CPC\n, • Previous Dustcart or commercial waste collection experience is highly desirable\n, • Good knowledge of London and the South-East would be an advantage\n, • Strong communication and teamwork skills\n, • A professional and positive attitude\n, • Reliable, punctual and safety-conscious\n, • Willingness to undertake any additional training required\n\n What We Offer \n\n • Salary of up to £50,000 per annum, depending on experience\n, • Overtime opportunities\n, • Performance-based bonus scheme\n, • Full-time, permanent employment\n, • Stable employment with an established and reputable local company\n, • Opportunities for additional training and development\n, • Supportive Transport Team\n, • Regular and consistent work\n\n Apply Now \n If you're an experienced HGV Class 2 / Dustcart Driver looking for a stable position with a well-established waste management company, we'd love to hear from you. \n Send us your CV and a brief covering letter outlining your experience and availability. \n Join our team and take the next step in your driving career.

Are you an experienced Class 2 (Cat C) Driver with a brick grab lorry loader licence? Do you have the drive to deliver happiness to customers’ doorstep, one B&Q product at the time? Are you an organised, friendly and approachable person? If you’re shouting “yes!”, then this is the perfect role for you! \n \n Here at GXO, we’re working together with B&Q and are looking for a Class 2 HIAB Driver (Brick Grab) to join our Store to Home team in Croydon (CR0 4YA). \n \n You’ll be working on a full-time, permanent basis, Monday to Friday, with a start time of 07:00, contracted to 40 hours per week. \n \n Pay, benefits and more: \n \n\n • An hourly rate of 21.00, that is an annual salary of £43,680\n, • Overtime pay at £31.50 (paid over 40 hours where applicable)\n, • 28 days annual leave (inclusive of bank holidays)\n, • Flexible dental insurance plans\n, • A company sponsored pension scheme\n, • A 24/7 online GP service, life assurance and fully comprehensive employee assistance programme\n, • Access to our MyBenefits platform, offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more!\n, • Admission to GXO University, our online learning platform enabling you to achieve your career aspirations!\n\n \n What you’ll do on a typical day: \n \n\n • Handle customer queries politely and effectively, ensure every delivery arrives in excellent condition, and build strong rapport through positive interactions with both internal and external customers.\n, • Make sure every return and collection is spot-on, jump in to support B&Q with vehicle loading whenever needed, and quickly alert the Store/Hub office and AOM to any delivery issues so everything keeps moving smoothly.\n, • Ensure that customers are kept informed of their estimated time of delivery and where issues occur the customer is communicated with in a polite and courteous manner.\n, • Ensure customers goods are transported safely onto the kerbside and in an efficient manner.\n\n \n What you need to succeed at GXO: \n \n\n • A full UK driving licence with category C entitlement\n, • A valid HIAB licence with brick grab ticket (ALLMI or equivalent)\n, • A valid Driver Qualification Card (Driver CPC)\n, • Be in possession of a valid Digital Tachograph Card\n, • No more than 6 current penalty points\n, • No DR, DG, DD, BA, CD, AC, LC or TT99 endorsements with a conviction date within the previous 5 years\n\n #bqstore \n We engineer faster, smarter, leaner supply chains. \n \n GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities. \n \n The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement

\n Principal Data EngineerHounslow, West London (Hybrid) | £110,000 + BenefitsThis is an opportunity for a technically strong Principal Data Engineer to combine hands-on engineering with leadership, mentorship, and strategic influence. You'll work on large-scale, commercially critical data platforms while helping shape engineering standards across a growing data function.The CompanyThey are a large, data-driven organisation investing heavily in modern data capabilities and engineering excellence. Operating within a federated data model, they have embedded data teams working closely with business stakeholders to deliver impactful data products. The environment offers exposure to complex datasets, modern cloud technologies, and the opportunity to influence data engineering at scale.The RoleYou will provide technical leadership while remaining actively involved in engineering delivery and platform development.Responsibilities include: \n\n • Leading the design, development, and optimisation of scalable data platforms and pipelines.\n, • Driving best practices across Data Engineering, Software Engineering, and DevOps.\n, • Working extensively with AWS, Snowflake, and dbt.\n, • Troubleshooting complex technical challenges and supporting teams to unblock delivery.\n, • Coaching, mentoring, and managing engineers to develop technical capability.\n, • Influencing engineering standards and continuous improvement initiatives.\n, • Collaborating with stakeholders across technology and business functions.\n, • Supporting the development of reliable, secure, and high-performing data products.\n, • Contributing to technical strategy and platform evolution.\n\n Your Skills & Experience \n\n • Strong commercial experience in Data Engineering or a related engineering discipline.\n, • Expertise with AWS and cloud-native data platforms.\n, • Hands-on experience with Snowflake and dbt.\n, • Strong software engineering and data architecture fundamentals.\n, • Experience building and supporting production-grade data solutions.\n, • Knowledge of CI/CD, automation, testing, monitoring, and DevOps practices.\n, • Experience leading technical initiatives and influencing engineering standards.\n, • Strong communication and stakeholder management skills.\n, • Proven ability to mentor, coach, and develop engineering talent.\n\n What They Offer \n\n • Salary of £110,000 plus benefits.\n, • Hybrid working with three days per week onsite in Hounslow.\n, • Opportunity to shape engineering standards across a growing data organisation.\n, • Exposure to large-scale, business-critical datasets and complex technical challenges.\n, • Leadership responsibility with a blend of hands-on engineering and team development.\n, • Long-term career progression within a modern data environment.\n\n How to ApplyIf you're an experienced Principal Data Engineer looking for a role that combines technical depth, leadership, and strategic influence, apply today to find out more. \n

Overview AI is already making a real impact at Chambers and Partners, with solutions running across our editorial, research, product and commercial teams. We’re now looking for an AI Solutions Lead to lead our AI engineering team and help shape the next stage of how we use AI across the business. \n This is a hands-on leadership role for someone who enjoys solving complex technical problems while bringing people, priorities and ideas together. You'll be the most senior technical voice on AI at Chambers, responsible for defining what good looks like in AI engineering: the standards, modelling choices and evaluation discipline the team works to. \n You’ll stay close to the technology while having the opportunity to influence what we build, why we build it and where AI can create the greatest value. Main Duties and Responsibilities \n\n • \n Lead the delivery of multiple AI initiatives, from discovery and scoping through to production and measuring their impact. \n\n\n • \n Set technical direction across AI architecture, model selection, data and retrieval strategies, evaluation and deployment. \n\n\n • \n Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data teams. \n\n\n • \n Lead, mentor and develop our team of AI engineers, creating an environment where people can do their best work. \n\n\n • \n Champion high-quality engineering practices, including code review and safe, structured and streamlined deployment. \n\n\n • \n Work closely with Product, Research, Commercial, Data and Technology teams to turn business challenges into practical AI solutions and manage cross-team dependencies. \n\n\n • \n Advise senior stakeholders on technical options and trade-offs, helping prioritise the opportunities that will create the greatest value. \n\n\n • \n Keep Chambers connected to developments in AI and identify where emerging technologies can be applied in useful and responsible ways. \n\n Why you should apply \n AI is already in production at Chambers - models running live across editorial, research, product and commercial workflows.?The problems are genuinely hard, largely unsolved, and the output reaches a global professional audience that depends on getting it right. \n It's also a role with room in it. You'll line-manage the AI engineering team and own technical direction, but you'll stay close to the code - this isn't a job where you hand the interesting problems to someone else. You'll work directly with senior stakeholders, help decide what we build rather than just how, and because this is a focused team rather than a large one, the decisions you make show up quickly in what ships. \n Chambers is midway through a significant AI transformation. If you want to shape how a category-defining company applies AI - this is the role. \n Skills, Experience & Personal Attributes \n You'll bring a strong applied data science foundation, with the statistical judgement to frame problems, test hypotheses and evaluate whether AI solutions genuinely work. You'll combine this with experience taking ML and GenAI solutions into production and leading technical teams or workstreams. \n You’ll bring: \n Essential \n\n • \n A data science foundation, applied for outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. \n\n\n • \n Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. \n\n\n • \n A deep understanding of how modern models are built, not only how they're used: transformer architectures, pre-training and post-training methods (SFT, RLHF/DPO) and evaluation methodology. You will have fine-tuned models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. \n\n\n • \n NLP depth on long-form professional text: classification, information extraction, entity resolution, summarisation, embeddings and retrieval. \n\n\n • \n Real-world delivery of modern AI approaches (RAG, fine-tuning, agentic AI and multimodal models) in production workflows. You'll have built on model APIs (e.g. Azure OpenAI, Anthropic, open-weight models) and evaluation tooling, and know when the framework, or the LLM, is unnecessary. \n\n\n • \n Hands-on engineering skills in Python and SQL, taking work from notebook to production to a high standard (testing, CI/CD, containers, infrastructure-as-code), with production experience on Azure, ideally Azure ML and Databricks. You'll work as a peer of the platform engineering teams. \n\n\n • \n Rigour in running AI in production: experiment tracking and model registry (MLflow), evaluation frameworks and regression testing before release, monitoring and data-drift management, LLM observability and model governance. \n\n\n • \n A track record of owning technical decisions across model selection, data and retrieval strategy, evaluation and production deployment, and of contributing AI expertise to solution architecture. \n\n\n • \n Proven leadership of AI, ML or data science teams: hiring, mentoring and growing a team that ships, and moving it from prototype habits to production discipline. You'll run delivery through Scrum or Kanban, adapted for AI work with time-boxed spikes, hypothesis-driven experiments and definitions of done that include evaluation thresholds. \n\n\n • \n The credibility to advise senior stakeholders, translating complex technical trade-offs and statistical findings into clear, commercially grounded decisions, and being plain about what the data does and doesn't support. \n\n\n • \n A pragmatic, delivery-first mindset: you influence what gets built, then make sure it ships. \n\n\n • \n Genuine curiosity about where AI is heading, and the judgement to know which developments actually matter for the business. \n\n Desirable \n\n • \n Experience across the wider Azure AI and data estate, such as AKS, Azure AI Search, Azure OpenAI and Azure Document Intelligence. \n\n <

Are you looking for a role where your Class 2 (Cat C) driving experience really matters? Do you enjoy brightening customers’ days by delivering their much-loved products to their homes? Are you happy being out on the road and take pride in delivering excellent customer care? \n \n Here at GXO, we’re working together with B&Q and are looking for highly experienced RegionalClass 2 Driver to join our Store to Home team (applications from HIAB-qualified drivers are encouraged). In this role you will support deliveries from our New Malden and Croydon stores therefore flexibility is essential. \n \n You’ll be working on a full-time, permanent basis, following a two-week rotating shift pattern: Week 1 - Monday to Friday/ Week 2 - Tuesday to Saturday, with start time between 07:00 and 11:00, contracted to 40hrs per week. \n \n Pay, benefits and more: \n \n As a Driver, you’ll receive a competitive pay and benefits package, depending on the licence held: \n \n Pay Rates: \n \n Class 2 Driver \n\n • An hourly rate of £18.90, that is an annual salary of £39,312.00\n, • Overtime pay of 28.35 per hour (when applicable, paid over 40hrs)\n\n \n Class 2 Driver (HIAB Qualified) \n\n • An hourly rate of £19.93, that is an annual salary of £41,454.40\n, • Overtime pay of £29.90 per hour (when applicable, paid over 40hrs)\n\n \n Additional Benefits \n\n • On-going annual CPC training\n, • Holiday pay and Workplace pension\n, • B&Q store discount upon successful completion of probation period\n, • A 24/7 online GP service, life assurance and a fully comprehensive employee assistance programme\n, • Access to our MyBenefits platform offering a variety of high street discounts, cashback cards, a saving scheme and much more!\n, • Access to GXO University – home to a wealth of online training courses, meaning your development never ends!\n\n \n What you’ll do on a typical day: \n \n\n • Providing multi-drop home deliveries directly to the customer’s chosen room, averaging 16 deliveries per day in quieter months and up to 24 during peak season\n, • Maintain accurate driving/working time records using the Tachomaster system and manual entries to record all working hours as required by the WTD regulations\n, • Operate company vehicles in a safe, legal, and efficient manner\n, • Ensure all products are checked off the vehicle and the customer receive the correct products and delivery documentation\n, • Keep customers informed of their estimated time of delivery and where issues occur communicate with in a polite and courteous manner\n\n \n What you need to succeed at GXO: \n \n\n • Previous experience in multidrop, store deliveries preferable but not essential\n, • A full UK driving licence with category C Entitlement with an up-to-date CPC and Digital Tachograph\n, • No more than 6 penalty points on your licence (no DD, DR, DG, BA, CD, AC, LC or TT endorsements)\n, • A valid HIAB licence with brick grab ticket (ALLMI or equivalent), where held\n, • Excellent customer service skills, both written and verbal\n, • Willingness to undertake pre-employment Disclosure and Barring Service (DBS Check)\n, • Be prepared to commute between New Malden and Croydon stores\n\n #bqstore \n We engineer faster, smarter, leaner supply chains. \n GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities. \n \n The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement

Are you an experienced HGV Class 1 Driver looking for a new adventure? Want to hit the road with a company that’s all about making life better and making every journey worthwhile? \n \n Here at GXO Greenford, we are looking for HGV Class 1 Driver to join our transport team, supporting our customer, Micheldever. You’ll be part of a dedicated team that works together to keep operations moving and deliver excellent service every day. \n \n You will be working on a full-time, permanent basis, contracted to 45 hours per week. We are currently recruiting for a Sunday to Thursday shift pattern, with a start time of 23:00. \n \n Pay, benefits and more: \n \n\n • An hourly rate of £17.74, plus an additional night shift premium of £332 per month\n, • 20 days annual leave \n, • Company sponsored pension scheme\n, • Access to our Happi App platform, offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more!\n, • Admission to our online learning platform enabling you to achieve your career aspirations!\n\n \n What you will do on a typical day: \n \n\n • Complete trunking and store delivery routes in a safe and professional manner\n, • Ensure all vehicle checks are completed before and after each shift\n, • Accurately complete all relevant paperwork and comply with company procedures\n, • Deliver excellent customer service while representing GXO and Micheldever\n, • Adhere to all transport legislation, driver hours and working time regulations\n\n \n What you need to succeed at GXO: \n \n\n • Previous experience driving Class 1 vehicles is essential\n, • Full UK driving licence with category C+E entitlement\n, • Valid Driver Qualification and Digital Tachograph Cards\n, • No more than 6 current penalty points\n, • No DR, DG, DD, BA, CD, AC, LC or TT99 endorsements\n\n \n We engineer faster, smarter, leaner supply chains. \n \n GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities. \n \n The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement

Are you a skilled Class 2 Driver looking for more than just a job? Want to earn over £53,000 in your first year? Ready to take the wheel of a career with real growth, great benefits and a supportive team behind you? \n \n At GXO, we’re expanding and looking for dedicated drivers to join our energetic team at Dartford, Kent working on our Ikea contract. As a Class 2 Driver you will be delivering furniture for IKEA alongside a Drivers Mate who will assist in the lifting and shifting of items. Customer service will be at the heart of this role! \n \n This is a full time, permanent role you will be working 48 hours per week on a shift pattern of 5 days on, 3 days off over an 8-week rota or Monday-Friday with start times between 05:00 - 05:30. \n \n Pay, benefits and more: \n \n\n • We are offering an annual salary of £52,513.10\n, • Also a £500 bonus upon completion of the 3 month probation period\n, • 28 days holiday\n, • Extensive retail discounts across all the big retailers including supermarkets, fashion, technology, travel, days out, hair & beauty, sports and much more!\n, • Permanent employment contract with an ever evolving and growing market leader\n, • Continuous training and development opportunities including DCPC and further licenses on completion of probation.\n, • Extensive wellbeing programmes and initiatives accessible to all employees\n, • Pension scheme\n, • Driver Awards and Recognition\n\n \n What you will do on a typical day: \n \n\n • Working as a 2-person delivery team, delivering furniture products into a room of choice at customers' homes and providing a first-class customer service experience\n, • Ensuring the vehicle and stock are properly secured\n, • Completion of tachographs in line with legislation and company policies\n, • Performing vehicle checks at the beginning and end of each journey and reporting all defects\n\n \n What you need to succeed at GXO: \n \n\n • This is a physically demanding role which includes lifting and shifting of furniture\n, • Full UK driving licence with category C entitlement\n, • No more than 6 current penalty points\n, • No DR, DG, DD, BA, CD, AC, LC or TT99 endorsements within the previous 5 years\n, • Previous experience driving category C vehicles is desirable\n, • DBS security check will be completed on the successful candidate\n\n \n We engineer faster, smarter, leaner supply chains. \n \n \n GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities. \n \n The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement \n \n #appcastuk

White Collar Factory (95009), United Kingdom, London, LondonSenior Manager Architect - Data \n Location: London or Nottingham - Hybrid \n Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote \n Our Mission \n We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best WorkplacesTM list. Hear from our team about what it's like working at Capital One UK. \n About the role \n Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? \n It's an exciting time at Capital One UK - We're on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. \n Capital One's Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. \n As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. \n Come and help us shape the future of financial services in the Cloud. \n What you'll do \n\n • Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.\n, • Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem\n, • Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain\n, • Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value\n, • Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns\n, • Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case\n, • Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation\n, • Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group\n\n What you'll bring \n\n • Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation\n, • Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI\n, • Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)\n, • A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities\n, • Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle\n, • Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment\n, • Proficiency in software development principles, patterns, and practices including CI/CD\n, • Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting\n, • An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation\n, • There is no one type of architect; you are the glue that adds value where it's needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction\n, • Experience in Financial Services or Regulated sector beneficial\n\n Where and how you'll work \n This is a permanent position which can be based in either our London or Nottingham offices. \n We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. \n Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. \n What's in it for you \n We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. \n In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: \n\n • Wealth & Future: Competitive pension and performance-based bonus schemes\n, • Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.\n, • Health: Access premium care through our private medical insurance.\n, • Family Support: We champion your milestones with enhanced parental leave.\n\n A full list of our benefits is available here. \n What you should know about how we recruit \n We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. \n We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. \n Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. \n Capital One is committed to diversity in the workplace. \n If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. \n For technical support or questions about Capital One's recruiting process, please send an email to \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \n Who We Are \n At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. \n Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. xxuwjjq Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, LondonSoftware Engineering Manager \n About this role \n Capital One is looking for a Software Engineering Manager to join us in our London office. You will have previous experience of leading a Software Engineering team and be passionate about people and technical leadership. \n What you'll do \n\n • Be a differential people leader. Literally. We expect you to coach and nurture your engineers and make a material positive difference to their careers and impact on the business.\n, • Bring technical leadership to your team. We don't require you to code, but we do expect you to stay close to your team's work, set a high bar for engineering, understand technical risks and influence architectural thinking and decisions.\n, • Bring context and purpose to your team. You will ensure your team understands the why behind the work they do, and you will be intentional about how you own and shape culture.\n, • Own ways of working and deliveries, partnering with your Product Owner and Change Delivery Lead to shape roadmaps and lead frequent delivery of high quality software in a complex regulatory environment\n, • Own one or more business applications, keeping them well-managed and compliant with the high bar set by the business\n, • Be a manager for the business, elevating your thinking beyond your immediate team. You'll represent the interests and context of the business to your engineers, and help make the environment beyond your immediate team a better place.\n\n What we're looking for \n An approachable and inquisitive problem-solving leader, with a focus on the why, and a passion for growing people, nurturing culture and leading technical delivery to help us get things done and make things better in a complex, regulatory environment. \n We are looking for: \n\n • Previous experience in leading teams, growing engineers and dealing with conflict, constructively and collaboratively\n, • Previous experience of having been an experienced software engineer, and somebody who remains comfortable with technology, architectural decisions and technical trade-offs\n, • Previous experience in our backend tech stack - Java, Spring, AWS and who is a strong advocate of tight feedback loops through mechanisms including, but not limited to automated tests, CI/CD pipelines and frequent releases\n, • A balance of self-reflection and bias for action\n, • Strong ownership and excellent communication\n, • A drive for positive, proactive impact\n\n We understand that great engineering managers may not have everything listed here, and that is OK. If you believe you can make a difference, lead a happy & high-performing engineering team and you have the drive to make a positive impact on the business, we'd love to hear from you. \n What's in it for you: \n\n • A people and technical leadership role in an engineering organisation that actively values excellence and doing the right thing, in a business that cares for its associates and has interesting problems to solve around growth, security, availability and performance in a highly regulated space.\n, • A learning environment with access to many excellent resources including online technical courses and in-person leadership training\n, • A competitive salary and immediate access to core benefits including salary sacrifice pension scheme with up to 10% company contribution, bonus, generous holiday entitlement, private medical insurance and flexible benefits including season ticket loans, cycle to work scheme and enhanced parental leave\n, • Open-plan workspace and facilities designed to inspire and support you. In our (quite beautiful) London office, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café\n\n What you'll get to learn (any previous experience would be advantageous) \n\n • Solve real world problems, navigate ambiguity and deliver on the public cloud (AWS) to drive growth and operational efficiencies in an ambitious and growing UK business\n, • Influence change in a complex regulated environment\n\n Where and how you'll work \n This is a permanent position based in our London office. \n We have a hybrid working model which gives you flexibility to work from our offices and from home. \n We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. \n What you should know about how we recruit \n We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. \n We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: \n\n • REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies\n, • OutFront – to provide LGBTQ+ support for all associates\n, • Mind Your Mind – signposting support and promoting positive mental wellbeing for all\n, • Women in Tech – promoting an inclusive environment in tech\n, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry\n, • Enabled - focused on supporting associates with disabilities and neurodiversity\n\n Capital One is committed to diversity in the workplace. \n If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. \n For technical support or questions about Capital One's recruiting process, please send an email to \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \n Check out the role overview below If you are confident you have got the right skills and experience, apply today. \n Who We Are \n At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. \n Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. xxuwjjq Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning \n About this role \n We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. \n Do you love shaping the technical landscape and driving innovation across the organisation? \n Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? \n At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. \n What You'll Do \n\n • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption\n, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy\n, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities\n, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business\n, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines\n, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery\n, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners\n, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions\n, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems\n, • Actively mentor and develop engineers, fostering a culture of continuous learning\n\n What we're looking for \n\n • Deep expertise in Python and ML engineering\n, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures\n, • Track record of leading ML/AI technical initiatives across multiple teams\n, • Strong experience with cloud platforms (AWS, Azure, GCP)\n, • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG)\n, • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems\n, • Experience designing and scaling low-latency, customer-facing ML/AI architectures\n, • Proven experience setting a multi-team ML/AI technical vision and strategy\n, • Strong track record of technical leadership and influence without authority\n, • Experience driving ML engineering standards and best practices across organisations\n, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems\n, • Experience leveraging enterprise platforms to deliver business use cases at scale\n, • Experience of steering Communities of Practice or technical forums\n, • Strong business acumen and ability to translate ML/AI concepts for various audiences\n\n Where and how you'll work \n This is a permanent position based in our London office. \n We have a hybrid working model which gives you flexibility to work from our office and from home. \n We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. \n What's in it for you \n\n • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation\n, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)\n, • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave\n, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.\n\n What you should know about how we recruit \n We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. \n We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: \n\n • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies\n, • OutFront - to provide LGBTQ+ support for all associates\n, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all\n, • Women in Tech - promoting an inclusive environment in tech\n, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry\n, • Enabled - focused on supporting associates with disabilities and neurodiversity\n\n Capital One is committed to diversity in the workplace. \n If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. \n For technical support or questions about Capital One's recruiting process, please send an email to \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \n You could be just the right applicant for this job Read all associated information and make sure to apply. \n Who We Are \n At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. \n Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. xxuwjjq Together, we are on a quest to change banking for good.

AI Engineer | Agentic Systems & LLM Platform Central London (In person) | Permanent We're hiring on behalf of an AI-first analytics startup whose product runs on a production multi-agent system: Anthropic, OpenAI and Perplexity models orchestrated on AWS, and exposed to customers through the company's own MCP server. This is a real AI engineering role, not calling an API from a web app. The platform already has real users. The job is deciding what good looks like and building the agents, evals and infrastructure that get it there, while setting the technical bar for the team. What you'll do - Design and evolve multi-agent systems: agent topologies, tool calling, memory and context management, and the agent harness itself - Extend the company's MCP server with new tools and capabilities - Build the eval and observability layer: golden datasets, regression suites, LLM-as-judge, and cost and latency tracking per model and client - Own the AWS infrastructure behind it (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock), plus CI/CD and infrastructure as code - Guard against prompt injection, PII leakage and cross-tenant data access - Set technical direction, make build-vs-buy calls and mentor other engineers What we're looking for - 3–5 years of software engineering, including 2+ years shipping LLM or GenAI systems in production - Strong Python, and hands-on experience with an agent framework (LangGraph, Strands, CrewAI, OpenAI Agents SDK, Claude Agent SDK or similar) - Production use of LLM APIs, including tool calling and structured outputs, plus RAG (embeddings, vector stores, reranking) - Experience building LLM evals and observability - Solid AWS, and system design for distributed, event-driven systems - A bonus: MCP servers or tools, multi-tenant AI systems, cost optimisation across LLM providers, open-source AI contributions - Right to work in the UK is a must If you use AI agents in your own workflow and have strong opinions on how agentic systems should be built, we'd like to hear from you

Solution Architect London - Hybrid £80,000 - £90,000 Microsoft / Azure / Solution Architecture / Financial Services I'm currently working with a growing technology consultancy who are looking to bring a Solution Architect into their expanding delivery team. The business works with organisations across telecommunications, financial services, insurance and healthcare, helping clients design and deliver modern technology solutions. Joining a client-facing consulting team, you'll work across a variety of transformation and technology projects, working closely with clients to understand their requirements and translate these into scalable, secure and practical solutions. You'll be responsible for designing end-to-end solutions across the Microsoft technology stack, with a strong focus on Azure, cloud architecture and modern application platforms. You'll work closely with developers, engineers, project teams and senior stakeholders throughout the delivery lifecycle. The company have offices in London and are looking for someone who is happy to work from the office 2 days per week. Key Responsibilities Design end-to-end technology solutions across the Microsoft and Azure stack. Develop solution architectures aligned with business requirements and technical standards. Produce architecture diagrams, technical documentation and solution designs. Work closely with development, data, infrastructure and security teams. Engage with clients and senior stakeholders to understand requirements and communicate solutions. Provide technical leadership throughout the design and delivery lifecycle. Experience Required Strong commercial experience as a Solution Architect within Microsoft technology environments. Strong experience across Microsoft technologies, particularly Azure and cloud architecture. Good understanding of .NET / C#, APIs, integration and modern application platforms. Experience with Azure networking, security, identity/IAM and Azure SQL / SQL Server. Understanding of DevOps, CI/CD and Infrastructure-as-Code principles. Previous experience in client-facing consulting and/or Financial Services environments. Nice to Have Microsoft Azure certifications such as AZ-305 or AZ-104. Experience with Power Platform and/or Dynamics 365. Exposure to Azure Integration Services, Logic Apps or Service Bus. Experience with AKS, containers, Terraform or Bicep. Exposure to Microsoft Fabric, Power BI or modern data platforms. Knowledge of enterprise architecture frameworks such as TOGAF. Salary: £80,000-£90,000 Benefits: 25 Days Holiday, Bonus, Share Scheme, Health Insurance, Pension, Life Assurance If you're an experienced Solution Architect with strong Microsoft and Azure experience, particularly within Financial Services, and are interested in joining a growing technology consultancy, please apply and I can give you a call to discuss the role in more detail. Tim Stock | (phone number removed)

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data / SQL / Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial services, insurance and healthcare, helping clients develop modern data platforms and turn complex data into valuable business insights. Joining a client-facing consulting team, you'll have the opportunity to work across a variety of data engineering projects, with a strong focus on financial services. You'll be responsible for building, transforming and structuring large datasets, developing reliable data pipelines and supporting the delivery of data solutions for reporting, analytics and operational use. You'll work closely with both technical teams and client stakeholders to understand requirements, design scalable solutions and deliver robust data platforms using modern Azure technologies. The company have offices in London and are looking for someone who is happy to work from the office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL / SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards of data quality, integrity and security throughout the data lifecycle. Experience Required Strong commercial experience working within Azure data environments. Hands-on experience with Azure Data Factory, Azure Databricks and Azure SQL / SQL Server. Strong SQL and Python skills. Previous experience working within Financial Services environments (Banks/Insurance/FinTech) Good understanding of modern data architectures, including medallion architecture. Understanding of cloud security, IAM and networking principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery / GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience working with financial data, regulatory reporting or risk-related datasets Salary: £65,000-£75,000 Benefits: 25 Days Holiday, Bonus, Share Scheme, Health Insurance, Pension, Life Assurance If you're an experienced Data Engineer with Azure, SQL and Financial Services experience, please apply and I can give you a call to discuss the role in more detail. Tim Stock | (phone number removed)

Google Cloud Platform Developer/Architect - Contract Location: London - 5 days on-site Contract: 6 months initially, with potential extension Start Date: Immediate IR35 Status: Inside IR35 Damia Group is a specialist Talent Solution Provider partnering with leading organisations across technology, financial services, defence and other highly regulated industries. We are currently supporting a major organisation with the appointment of an experienced Google Cloud Platform Architect to join a high-performing engineering and cloud platform team. This is an excellent opportunity for an experienced Cloud Architect / Platform Engineer to work on complex, enterprise-scale cloud-native environments, influencing architectural decisions and helping shape cloud engineering standards across multiple teams. The role requires someone who can combine deep hands-on engineering expertise with strong architectural thinking, while being comfortable working with senior technical stakeholders and influencing technology strategy. Key Responsibilities Architect and deliver complex, creative software and cloud solutions, applying strategic thinking to ambiguous technical problems and influencing architectural decisions across teams. Develop secure, high-quality production code and actively review, debug and improve code produced by other engineers. Lead architectural design for cloud-native systems and services, producing comprehensive RFCs, ADRs, architecture diagrams and other technical design documentation. Drive operational excellence by identifying patterns in system failures, operational metrics and data, implementing improvements to reliability, performance and observability. Lead technology and vendor assessments, conducting technical deep dives and evaluating architectural approaches, technical capabilities and emerging technologies. Help develop engineering communities of practice, promoting cloud-native technologies, engineering standards and best practices. Mentor junior and mid-level engineers through code reviews, technical design and knowledge sharing. Contribute to strategic initiatives covering cloud platform standards, CI/CD maturity and Infrastructure-as-Code. Design and operate resilient, highly scalable cloud services in line with enterprise security, compliance and public cloud standards. Required Skills & Experience Formal training or certification in software engineering concepts with 5+ years' professional experience in production software development. Advanced hands-on experience across system design, application development, testing and operational stability at scale. Strong proficiency in modern programming languages, with Go or Python particularly desirable. Advanced Kubernetes platform engineering experience, including designing, developing and operating custom Kubernetes Operators and Custom Resource Definitions (CRDs). Experience with technologies such as Kubebuilder, Operator SDK or equivalent. Strong understanding of Kubernetes internals, API machinery, RBAC, multi-tenancy, observability and production operational practices. Proven experience building cloud-native control planes and automation frameworks on Kubernetes, including reconciliation loops, admission controllers, webhooks and custom controllers. Strong Google Cloud Platform experience, including architecting, building, deploying and operating production cloud-native workloads using core GCP services. Understanding of cloud cost optimisation, security and enterprise architecture principles. Strong experience designing and implementing CI/CD pipelines, infrastructure automation and deployment strategies. Advanced understanding of the Software Development Lifecycle and experience improving engineering practices across teams. Strong knowledge of agile engineering methodologies, CI/CD, application resilience, security and capacity planning. Demonstrable expertise in a technical discipline such as cloud architecture, distributed systems, security, DevOps or platform engineering. Experience working within the financial services sector, including understanding of IT environments, regulatory requirements and operational constraints. Practical experience using AI-assisted developer tools and AI agents, such as GitHub Copilot, Claude Code or equivalent. Excellent communication and stakeholder management skills, with the ability to explain complex technical decisions and trade-offs to both technical and non-technical audiences. Desirable Skills Advanced Infrastructure-as-Code experience, particularly Terraform, CloudFormation or CDK. Strong observability and monitoring experience with technologies such as Prometheus, Grafana, Datadog or CloudWatch. Relevant Google Cloud certifications, such as Developer, Solutions Architect or Security. Experience implementing cloud security practices including secure coding, threat modelling, compliance and incident response. Open-source contributions or a strong track record of technical knowledge sharing. Experience leading multi-team initiatives spanning infrastructure, application and platform engineering.Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003

We're looking for a Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. You'll work across the full application lifecycle, designing the services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing Own the application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear, scalable APIs using REST and/or GraphQL, including authentication, authorisation, versioning and streaming interfaces such as SSE or WebSockets. Build production frontend applications using React, TypeScript and JavaScript. Work closely with UX and product teams to turn designs into accessible, responsive and intuitive interfaces. Develop AI-specific user experiences including streaming responses, citations, source information, agent/tool progress and graceful error handling. Integrate with internal platforms and third-party services, considering security, scalability, performance and reliability. Establish automated testing across backend and frontend applications, including unit, contract and end-to-end testing. Work with the platform engineering team on deployment, observability, logging, tracing and operational readiness. Act as the technical owner for the application and integration layer, making and documenting key architectural decisions. Provide technical guidance, code reviews and mentoring to other engineers. You should have: Strong commercial experience with Python for backend and integration development. Strong TypeScript/JavaScript and React experience building production applications. Strong API design experience, including REST and/or GraphQL, authentication, authorisation, versioning and streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. A strong understanding of observability, testing and CI/CD practices. Experience working with data platforms or stores such as MongoDB, OpenSearch or Databricks. Experience integrating internal systems and third-party services securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity to have genuine ownership over how AI capabilities become usable, scalable software products. You'll be joining an AI-focused engineering environment where you can work at the intersection of software engineering, APIs, cloud infrastructure and generative AI, while helping establish the engineering standards and architecture that will support future products. If you're a senior engineer who enjoys moving between backend architecture and frontend delivery, wants ownership rather than simply a list of tickets, and is excited about where AI agents and modern application architecture are heading, we'd love to hear from you. INDLON 52212MSR The Portfolio Group are acting on behalf of our client in recruiting for this position

Your new companyA highly regarded technology and quantitative development team is looking to hire a Python Quant Developer to support the design, development and delivery of business-critical trading, pricing and analytics platforms. Working in a fast-paced engineering environment, you will collaborate closely with quantitative analysts, traders and technology teams to deliver robust solutions that directly impact front-office business functions. Your new roleAs a Python/Quant Developer, you will be responsible for building and delivering high-performance applications, analytics tools and platform integrations across the full software development life cycle. This is not a siloed development role. The team is looking for engineers who take ownership from initial design and development through testing, deployment and production support. You'll work within a lean engineering environment where developers are expected to contribute across a broad range of activities, including platform integration, automation, cloud technologies, CI/CD pipelines and DevOps tooling. The successful candidate will be comfortable working beyond pure coding responsibilities and supporting the successful delivery of solutions into production.This role would suit someone who enjoys solving complex technical and quantitative problems whilst maintaining a strong engineering mindset and willingness to get involved wherever required. What you'll need to succeed Strong Python development experience within a quantitative, trading, financial markets or data-intensive environment. Experience building pricing, risk, analytics, trading or quantitative applications. Excellent software engineering fundamentals and experience delivering production-grade applications. Demonstrable experience owning projects throughout the full life cycle, from development through to production deployment. Experience working in agile or lean engineering teams where individuals are expected to contribute across multiple disciplines. Exposure to cloud platforms, infrastructure automation, containerisation, CI/CD pipelines and DevOps practices. Experience integrating with data platforms, APIs, analytics engines or enterprise systems. Understanding of production support, release management and operational ownership. Strong problem-solving skills with the ability to learn new technologies, frameworks and tools quickly. Previous experience collaborating directly with quants, traders, business stakeholders or platform teams would be highly beneficial. Mathematical, quantitative or financial markets knowledge is advantageous, although equally strong candidates may come from a highly technical engineering background with exposure to quantitative systems. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

DATA ENGINEER - GCP Location: London, Bristol or Manchester - Flexible Hybrid Working Contract: 6 months Engagement: Inside IR35 Clearance: BPSS with eligibility for SC clearance We're looking for an experienced Data Engineer to join a large-scale digital and data environment, helping develop and mature the infrastructure used to collect, process and make analytical data useful. This is a hands-on technical role working across data engineering and wider technical teams. You'll work on complex data flows, scalable data models and cloud-based data infrastructure, while contributing to strong engineering practices and standards. The environment is heavily focused on Google Cloud Platform (GCP), with BigQuery, Dataform and Airflow/Cloud Composer forming key parts of the technology stack. WHAT YOU'LL BE DOING Designing and implementing complex data flows across operational, analytics and BI systems. Building and refining robust data models that make data easier for teams to consume and use. Developing and improving cloud-based data infrastructure within GCP. Collecting and integrating data from multiple sources, including APIs and digital channels. Improving data tooling, technologies and engineering practices. Supporting strong data quality, governance and infrastructure standards. Working collaboratively with developers, analysts and other data professionals. Independently investigating technical problems where the requirements or solution may not initially be clearly defined. ESSENTIAL EXPERIENCE Strong hands-on experience with Google Cloud Platform (GCP). Strong experience with BigQuery. Experience using Dataform. Experience with Airflow / Cloud Composer. Strong data engineering fundamentals, including building scalable and robust production data solutions. Experience working with data quality, governance and appropriate data controls. Confidence operating in environments where requirements may initially be ambiguous. An investigative approach, with the ability to ask the right questions, find answers and independently move work forward. At least 5 years' experience in a data-related profession, including at least 2 years within an engineering-focused role. DESIRABLE EXPERIENCE Terraform / Infrastructure as Code. Python. SQL. GitHub / Git-based development. Code reviews and CI/CD. API-based data collection and integration. Analytical or behavioural data. Data governance and regulatory requirements such as GDPR. Data quality frameworks and controls. Cross-domain data collection. GCP certifications or accreditations

Python Software Engineer | Technical Lead | Principal Engineer Python | Terraform | IaC | Cloud Automation London | Hybrid (2 days onsite. (London or Southampton) £100k + 8-10% bonus, private medical Are you a Senior or Tech Lead Software Engineer who loves solving infrastructure challenges through code? We're recruiting for an experienced Python Software Engineer to join a significant government technology project, helping to build secure enterprise customer platforms used by critical organisations. This is an opportunity to work on complex cloud infrastructure, automation, and platform engineering challenges where your work will have a direct impact on the success of a high-profile programme. Unlike many infrastructure roles, this is a genuinely software engineering-focused position. You'll spend your time building automation frameworks, developing internal tooling, creating Infrastructure as Code solutions, and eliminating manual processes through clean, scalable, production-quality code. What You'll Be Doing Building automation frameworks and tooling using Python Developing Infrastructure as Code solutions with Terraform Creating reusable templates and code generation platforms using Jinja2 Automating Windows environments through PowerShell Managing and improving configuration management with Puppet Building CI/CD integrations for infrastructure delivery Working closely with cloud, platform and engineering teams to improve automation and operational efficiency Driving infrastructure standardisation, reliability and scalability across complex environments What We're Looking For Strong commercial Python development experience Experience building automation tools, frameworks or platforms Terraform and Infrastructure as Code experience Experience with AWS cloud services Puppet configuration management experience CI/CD and DevOps automation experience Passion for engineering best practices, testing and code quality Experience working in cloud and hybrid infrastructure environments Interested? Hit apply to upload your CV. Want more info first? Contact Steve at Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. TPBN1_UKTJ

We are looking for a Lead Software Engineer who will be responsible for the design, development, and deployment of high-quality software solutions. This role involves leading a team of engineers on high-profile projects, ensuring best practices are followed, and driving continuous improvement in software development processes. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities. Responsibilities Lead the architecture, design, and development of complex software systems, ensuring they meet high standards of quality, security, and scalability. Manage and mentor a team of software engineers, providing technical guidance to foster professional growth. Ensure that coding standards, development best practices, and operational processes are consistently applied. Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery. Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications. Conduct regular code reviews and ensure that feedback is constructive and promotes learning within the team. Implement and maintain CI/CD pipelines to streamline the development and deployment process. Troubleshoot and resolve complex technical issues that arise during the software development lifecycle. Stay up-to-date with the latest trends in software engineering, communicate complex technical concepts to non-technical stakeholders, and drive the adoption of new tools and methodologies where beneficial. Manage project timelines, ensuring that deliverables are completed on time and within scope. Contribute to bid questions & early-stage hiring eg cv screening or technical assessments when required About You Professional knowledge and experience Essential : Extensive experience in full-stack software engineering, including design, development, testing, and deployment. Hands on experience with Java , Spring Boot , Python and Microservices, although a true polyglot is preferred. Strong understanding of software development methodologies such as Agile, TDD and DevOps. Some proficiency in multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable : Knowledge of emerging technologies like AI Previous, relevant experience as a senior software engineer Leading a large multidisciplinary project Line management experience Experience interviewing and screening candidates Experience responding to bid questions Skills Software Architecture : Expertise in designing scalable, secure, and efficient software architectures, ensuring alignment with business goals. Cloud Platforms : Strong proficiency in cloud technologies, including architecture and deployment strategies. Programming and Development : Advanced knowledge of multiple programming languages and frameworks (e.g., Python, Java, Node.js). CI/CD and Automation : Implementing and maintaining continuous integration/continuous deployment pipelines to accelerate development cycles. Code Quality and Testing : Experience with automated testing frameworks (e.g., Jest, JUnit) and best practices for ensuring code quality. DevOps Practices : Expertise in DevOps, particularly around automating deployment, monitoring, and scaling applications. Communication : Able to confidently communicate with internal and external stakeholders at both the technical and non-technical levels. Able to present and give feedback to relevant groups. Eg demo/TDA Behaviours and PACT values Purpose: Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs. Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost. Craft: B alance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes. Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients. About Us People-powered transformation We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we're creating sustainable solutions ready for an ever-evolving world. At the heart of TPXimpact, we're collaborative and empathetic. We're a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That's why we believe in people-powered transformation. Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. We're an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview. Benefits include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave life assurance employer pension contribution of 5% health cash plan personal learning and development budget Employee Assistance Programme access to equity in the business through a Share Incentive Plan green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme health assessments TPBN1_UKTJ

AI Full Stack Engineer | LLM Products on AWS Central London (In person) | Permanent We're hiring on behalf of an AI-first analytics startup. Their product is built on a production multiagent system that uses Anthropic, OpenAI and Perplexity models, runs on AWS, and reaches customers through the company's own MCP server. W e're looking for a strong full-stack or product engineer who has moved into building with LLMs and wants to own the whole AI system, end to end: the agents, the evals that prove they work, the data pipelines behind them and the cloud they run on. What you'll do Build and ship LLM-powered features from idea to production, across agents, APIs and infrastructure Extend the multi-agent platform: tool calling, structured outputs, memory and context management Add new tools to the company's MCP server Build evals and tracing so the team can ship AI features quickly and safely Run and improve the AWS stack (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock), with CI/CD and infrastructure as code What we're looking for 3–5 years as a software engineer, ideally full stack or backend, including real experience shipping LLM or GenAI features to production users Strong Python Hands-on with LLM APIs (tool calling, structured outputs) and at least one agent framework (LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK or similar) Comfortable on AWS and with event-driven, distributed systems A bonus: RAG, LLM evals, MCP, or AI side projects and open-source work you can show us * Right to work in the UK If you've built AI features end to end and want to own the system behind them, not just the screen in front, we'd like to hear from you

Integration Developer - Technical Lead London · Hybrid Are you an experienced Integration Developer ready to step into a Technical Lead role where you can shape modern engineering practices, influence architectural direction, and deliver high‑impact solutions across a globally recognised consumer brand. We are recruiting for a hands‑on, technically strong Integration Developer / Tech Lead to join a growing engineering team and play a key role in transforming a modern digital and operational technology landscape. About the Role As the Integration Developer Technical Lead, you will be responsible for designing, developing, and leading the delivery of integration solutions that connect core business systems, digital products, data services, and cloud platforms. You will own end-to-end integration architecture, champion modern engineering standards, and guide engineers through best practices in API design, cloud-native development, and scalable integration patterns. This is a hands-on leadership role, ideal for someone who enjoys coding, problem‑solving, and steering technical direction while mentoring engineers and collaborating with product, data, and platform teams. What You'll Be Doing Lead the design, development, and delivery of integration solutions across a diverse technology ecosystem Develop secure, scalable APIs, services, and messaging-based integrations Champion best practices in engineering, DevOps, automation, testing (TDD) and CI/CD Work closely with architects, digital product and design team, and stakeholders to define integration strategy Provide technical leadership, supporting developers through coaching and code reviews Contribute hands-on to development using modern .NET, cloud, and database technologies Influence and shape cloud-based integration modernisation (Azure preferred) Troubleshoot complex integration issues, ensuring performance, reliability, and data quality Support documentation, standards, and governance for integration patterns Play a key role in solution design for business and digital transformation initiatives We're looking for someone passionate about engineering, integration design, and leading by example. You'll thrive here if you're proactive, collaborative, and comfortable working across multiple systems in a fast-paced environment. Essential skills and experience: Strong background in C# / .NET, API development, and integration technologies Experience designing and delivering integrations using RESTful services, messaging, or service bus patterns Solid understanding of SQL Server, T-SQL, and database performance optimisation Experience working with Azure (Functions, Service Bus, Logic Apps, AKS, or related services) Hands-on experience with CI/CD pipelines, DevOps tooling, automation and testing Ability to lead technical discussions, coach developers, and set engineering standards Experience working in Agile environments Nice to have: Containerisation experience (Docker, Kubernetes) Nice to have messaging integration experience with Kafka or RabbitMQ Exposure to event-driven architectures Experience integrating systems within membership, retail, leisure, or consumer-facing industries Security, identity, or enterprise authentication experience This is a permanent role based in London with a hybrid working model of three days a week in the office based in central London. Salary range £90,000 - £100,000. My client will not provided sponsorship. Please note you will receive an automated response advising you that we have received your CV. Morgan Philips Group is a global talent solutions business that disrupts conventional thinking in executive search, recruitment and talent consulting. We operate in over 18 markets in Europe, North & South America, Asia, and the Middle East & Africa. We understand that the future is digital and social, so we embrace the latest technology, including video ads and CVs, as well as social recruiting. Our innovative services are tailored to the new world of work yet we do not lose sight of the fact that employees be they existing and potential are ultimately human beings. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age

Azure Architect London - Hybrid £100,000 - £130,000 Microsoft Azure / Cloud Architecture FinTech / Banking / Financial Services I'm working with a growing business in the looking to hire an experienced Azure Architect to take ownership of its Azure architecture, cloud strategy and technical direction. You'll lead the design and evolution of the Azure environment, setting technical standards and driving best practices across security, scalability and resilience. Working closely with engineering teams and senior stakeholders, you'll play a key role in shaping the cloud foundations that support critical financial services platforms. The business has been going for 15+ years and develop SaaS products delivered into FinTech, Banking & Insurance businesses across London & the UK. This role requires office working of 2 days a week in Central London. Key Responsibilities Take ownership of Azure architecture, cloud strategy and technical standards. Design secure, scalable and highly available cloud solutions across the Microsoft Azure stack. Lead cloud transformation, migration and modernisation initiatives. Work closely with engineering, DevOps and security teams to deliver robust cloud solutions. Ensure architectures align with business objectives and financial services regulatory requirements. Lead a small team of 3-4 mainly from technical standpoint. Experience Required Strong commercial experience as an Azure Architect, Cloud Architect or equivalent. Deep technical expertise across Microsoft Azure and its core services. Experience designing enterprise-scale cloud solutions, ideally within fintech, banking or financial services. Strong understanding of Azure networking, security, Microsoft Entra ID and cloud governance. Experience with Azure PaaS/IaaS, Infrastructure as Code and CI/CD. Experience designing highly available, resilient and secure cloud environments. Nice to Have Microsoft Azure certifications such as AZ-305, AZ-104 or AZ-500. Experience with Azure Kubernetes Service (AKS) and containerised applications. Exposure to Azure API Management, Service Bus or Logic Apps. Knowledge of financial services regulations and standards, including FCA requirements, PCI DSS, ISO 27001 or DORA. Experience with Azure DevOps, GitHub Actions, Microsoft Sentinel or Defender for Cloud. Salary: £100,000-£130,000 Benefits: Competitive Benefits Package, Pension, Bonus, Private Healthcare, Life Assurance and Annual Leave If this sounds of interest, hit apply and I can give you a call. Tim Stock | (phone number removed)

Our client is a global money transfer technology company. Company Description Our client is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, our client is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role: The team you will be joining: Business Onboarding team The Business Onboarding team is dedicated to guiding businesses through setting up their our client account and resolving their first international money needs in a way that's clear, easy, and delightful. You'll lead a team of talented engineers, collaborating daily with product managers, data analysts, and designers to continuously improve our onboarding flows and processes, making them faster, more intuitive, and more scalable. As the Senior Engineering Lead for Business Onboarding, you will: Lead, coach, and mentor a team of driven engineers across multiple locations, supporting their growth and empowering them to do their best work. Work closely with the Product Manager and your team to shape the roadmap, set the technical and product vision and ensure the team delivers on product goals in a robust and scalable way. Enable your team to succeed by ensuring they are well-resourced, can plan effectively, and are set up to commit to and deliver on their roadmap. Stay and remain very close to the tech and product - setting high standards for quality, and leading by example. Own the health and productivity of the engineers in your team, fostering a culture of collaboration, ownership, and continuous improvement. Collaborate with other engineering leads and teams across our client to ensure your team's work is aligned with the wider technical strategy. Own the hiring, growth and development of your team and its impact at our client. Qualifications What do you need?: You have strong, hands-on technical experience in OOP Languages (Java codebase) and modern technology stacks on technologies such as REST APIs, microservices, distributed systems and CI/CD pipelines - you will have to complete technical interviews to showcase your knowledge. You have proven experience in leading and mentoring software engineers. You enjoy helping others grow and succeed. You have a strong product and customer mindset and experience building customer facing products. You have experience working with and building distributed, high scalability systems and microservices architectures You're a great communicator who can articulate complex technical concepts clearly to both technical and non-technical audiences. You thrive in a collaborative environment and have experience working effectively with cross-functional peers like designers, product managers, and analysts. Nice to Have: Experience building great customer onboarding experiences (domain agnostic) Experience working on B2B products. Fluent with modern AI-assisted development workflows (e.g., Claude Code) — prompting, context structuring, skills/automations, and effective AI delegation— with the ability to scale this practices across the team while maintaining a high level of quality. Additional Information Interested? Find out more: How we work – a practical guide DEI @ our client Our Tech Stack (2025 update) See what it's like to work at our London! Our Engineering career map Our Engineering – do we offer: Starting salary: 135 - 175k + RSUs Our Benefits Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. #LI-AB3 #LI-Hybrid For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every colleague feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at our client visit . Keep up to date with life at our client by following us on LinkedIn and Instagram. TPBN1_UKTJ

Our client is a digital and technology consultancy serving the public sector. Work on exciting public sector projects and make a positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from their data. Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems. Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do – if that sounds like you, you'll fit right in! Role Objectives These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate. Model Development & Delivery: Design, build, test, and deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient and reliable model deployment and operation Advanced Problem Solving: Act as a technical expert for complex, non-routine technical challenges within machine learning, developing and implementing innovative and effective solutions Customise, optimise, re-train and maintain existing models Deploy models into production, testing and assuring them to ensure they meet performance requirements Work with others to integrate models with existing systems Check that models used in live products and services stay safe, secure and continue to work effectively Requirements Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain. Prototyping. Delivers complex, high-risk proofs of concept that test new AI applications. Specialist Advice. Serves as the primary source of expertise for generative AI within the organization. Data Science. Applies a range of data science techniques to support model development. Proven experience in building, deploying, and managing complex machine learning models. SC Clearance: Our client works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8% . Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave . Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not. Support: Access to 1-2-1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices. For further information contact: Nat Hinds: Head of Talent Kayla Kirby: Talent Acquisition Specialist TPBN1_UKTJ

Our client is a global money transfer technology company. Company Description Our client is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, our client is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role: Our client moves billions every month. Every single transfer runs through Send Experience. We own the send flow end-to-end: the product millions of customers touch, the discovery layer that makes local payment networks like Pix and UP feel native, and the platform holding tens of millions of recipient accounts worldwide. Three teams. One of the highest-impact surfaces in fintech. We're making international transfers feel as easy as sending a message. As an iOS product engineer, you won't just build that — you'll decide what it looks like. Our mission is to make sending money as easy as possible. As an iOS engineer, you'll be working on making the app experience truly exceptional. International at heart, feeling local and frictionless. How we work: We're a team split between London and Tallinn. We follow a hybrid working model, ensuring enough collaboration in-person and focus time where people find it best. What will you be working on?: Over 10 million customers will use what you build. That's not a vanity metric, it's the weekly reality. The role is UI- and product-focused. The work is deeply creative: flows that need to feel effortless whether it's a first transfer from São Paulo, or a hundredth from London. Where animation timing, information hierarchy, and interaction design are real engineering problems — not afterthoughts. And this is not a ticket factory. You'll sit with product and design from day one of an idea, challenge what "best" looks like, and ship your answer. The strongest features we've built started with an engineer saying "what if we did it this way instead." We need more of that. Concretely: Craft send experiences that feel local everywhere Build the future of recipient discovery: search, QR scanning, and more Push what our iOS app can do, with thoughtful transitions, responsive interfaces, and micro-interactions that make people smile Own features end-to-end, from technical design to watching real customers use your work Raise the bar across our client by collaborating with 60+ mobile engineers to lift UX and code quality across the entire app What do you need?: We know it's rare to tick every box. If you have most of these and are hungry to learn the rest, you should apply. You've built app experiences people love and can show it Strong in Swift A genuine eye for craft: you notice when a transition is 100ms too slow or a layout doesn't breathe You think in customer problems, not tickets: you push back when something doesn't make sense and propose what should exist instead Familiar with architectural patterns like MVVM or VIPER (we use both, happy to explore others) You write testable code and care about what happens after you merge Solid understanding of REST APIs, you're comfortable at the boundary between mobile and backend You communicate clearly: technical ideas to non-technical people, strong opinions held loosely You work autonomously, but you make the people around you better too Nice to Have: Experience with SwiftUI, Structured Concurrency, or CI/CD pipelines (GitHub Actions) Familiarity with internationalisation patterns for apps serving many markets A fintech background — but absolutely not required Interested? Find out more: How we work – a practical guide DEI @ our client Our Tech Stack (2025 update) See what it's like to work at our London! Our Engineering career map Our Engineering – do we offer: Starting salary: £87,500 - £115k + RSUs Our Benefits #LI-AB3 #LI-Hybrid Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every colleague feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at our client visit . Keep up to date with life at our client by following us on LinkedIn and Instagram. TPBN1_UKTJ

Company Description Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future. Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations. We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody. Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime – from birth to old age. Job Description We are seeking a Principal Technical Project Manager to support our Engineering Chapter in driving improvements to tooling, platforms and ways of working within the Software Delivery Lifecycle (SDLC) and live operations across the service and company. In this position you will work closely with the Director of Engineering and core Engineering Chapter teams: Developer Platform, Test Enablement and Site Reliability Engineering (SRE). You will play a vital role in ensuring that the objectives of those teams (and the initiatives which support them) are clearly identified and prioritised with the product managers and delivered effectively. You will engage with stakeholders across the business, ensuring that central Engineering Chapter work aligns with business needs, is communicated effectively and that outcomes are aligned with expectations. This principal role requires someone with strong understanding of modern SDLC practices, excellent stakeholder engagement skills, who can bring a collaborative and agile approach to driving delivery across multiple strands of work. Candidates should be highly experienced in working in an ambiguous environment, learning new principles and technologies to be able to work effectively with teams and engage credibly with the wider organisation. They should also be comfortable with balancing between meeting delivery commitments and being responsive to emerging organisational needs and priorities. Everyday responsibilities include: Own the end-to-end delivery of key technical workstreams within a programme, taking accountability for the successful completion of critical delivery outcomes. Lead the management of OKRs and initiatives across Engineering Chapter teams, including the capture, definition, tracking and reporting of objectives and key results. Partner with Product Managers and Service Owners to validate requirements and ensure delivery is aligned to agreed timelines, budgets and OKRs. Establish and maintain delivery plans, monitoring progress against roadmaps and communicating or escalating where delivery moves away from agreed commitments. Ensure delivery progress is accurately reflected in operational tools, including , to support effective planning, visibility and reporting. Identify, manage and regularly review risks, actions, issues and dependencies, working collaboratively with teams to resolve challenges and maintain delivery momentum. Prepare clear status updates and contribute to programme board reports and governance forums, ensuring progress, risks and decisions are communicated effectively. Establish and use appropriate decision-making structures, helping teams make timely, well-informed decisions where uncertainty needs to be resolved. Implement effective governance across delivery, cybersecurity, data quality, data protection, IT requirements, accreditations and relevant internal and external standards. Build trusted relationships with internal and external stakeholders, adapting communication to reflect different commercial, technical and business considerations. Ensure contributors are clear on what needs to be delivered, by when, and that responsible stakeholders remain informed throughout the delivery lifecycle. Engage with technical and operational governance groups, including the Engineering Steering Group, to shape, review and ratify key engineering decisions where appropriate. Lead, motivate and support contributors to delivery, including in matrix environments where there is no direct line management authority. Promote service-oriented thinking across Engineering Chapter teams, helping teams remain focused on user needs, service outcomes and measurable impact. Support supplier engagement and procurement activity in line with Genomics England governance, including supplier frameworks and relevant approval routes. Contribute to business cases, budget planning and spend monitoring, ensuring items and services are approved, budgeted for and managed through appropriate governance. Line manage and support Delivery Chapter colleagues, including pastoral support, performance reviews, development planning, training and performance management where required. Contribute as a senior member of the Delivery Chapter, supporting best practice, continuous improvement and active participation in Chapter meetings and away days. Qualifications Skills and experience for success: Proven track record of project and programme delivery from initiation to business as usual. Agile and adaptive project, risk, and issue management with a proactive and outcome-focused approach. Strong communication skills, engaging effectively with both technical and non-technical audiences. Commercial awareness to support informed decision-making. Ability to work in a highly regulated environment with increasing compliance needs. Stakeholder management, building trusted relationships across teams and leadership levels. Confident decision-making with sound judgement on escalation and risk management. Ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. Collaborative approach to problem-solving, balancing delivery priorities with business needs. Track record of line management directly or in a matrix organisation. Awareness of the following technologies and concepts: The principles and benefits of Internal Developer Platforms and Platform Engineering. Quality Assurance best-practices e.g. shift-left, contract-testing and Behaviour-Driven Development (BDD). Site Reliability Engineering (SRE) principles and practices. Measures of engineering maturity e.g. Developer Experience (DevEx) and DORA. Modern CI/CD platforms e.g. GitLab (preferred), GitHub and awareness of the concepts and benefits of Continuous Delivery. Observability / monitoring platforms e.g. DataDog (preferred) or New Relic. AWS services e.g. EC2, ECS/Fargate, S3, Lambda, RDS, VPC and management tools including AWS Organisations, Identity Centre, Inspector and Security Hub. Infrastructure-as-code tools e.g. Terraform (preferred) or CloudFormation. Additional Information Salary from: £77,000 Closing date for applications - Thursday 29th October at midnight. Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including: Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required). Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits. Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), an Electric Vehicle salary sacrifice scheme and a Give As You Earn scheme. Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required). Recognition & Rewards: Employee recognition programme and referral scheme. Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background. Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor. Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. We aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. Culture We have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here

Group Leader Analytical Development - Biopharma - Middlesex - Permanent Our client is a global life science organisation specialising in the latest development and manufacture of biopharmaceutical products across the world. At present, they are seeking a talented Group Leader within Analytical Development on a permanent basis at their facility in Middlesex. Job responsibilities: Lead and support Analytical development group for analytical method development, product characterization, method qualification, method transfer, Biosimilarity/analytical similarity related activities Set technical strategy and ensure correct execution for internal projects and external collaborations (CROs /strategic analytical partners). Build ‘RFT’ (Right First Time) approaches/ culture within the analytical function. Provide technical oversight during process - troubleshooting, addressing technical and instrumental challenges for smooth analytical operations Ensure experimental plans, analysis, and reports are scientifically sound, in line with current regulatory guidance and quality expectations. Support team with logistics and planning. Act as the analytical subject matter expert (SME) in cross-functional technical reviews, stage gate reviews, and partner discussions. Support R&D leadership/scientific project leaders with clear strategy and regular status updates Support R&D leadership with analytical group budgetary requirements Develop/mentor a high-performing analytical team; foster a culture of scientific excellence, accountability, and continuous improvement. Identify and implement new technologies (e.g., AAT, automation, digital platforms) to enhance analytical development workflows/ product advanced characterization Ensure GLP and EHS regulations are followed. Propose new ideas/new concepts targeting robust analytical package for various regulatory submissions. Support authoring and review of CMC sections of regulatory submissions (IND, IMPD, BLA, MAA), particularly Module 3 related to analytical development. Interface with Regulatory Affairs to respond to regulatory queries and support interactions with EMA, MHRA, and FDA Core Skills: Strong scientific understanding of therapeutic proteins, monoclonal antibodies, fusion proteins and other recombinant biologic products. Biosimilar development experience is essential Good experience and understanding of biologics analytical techniques/ methodologies such as HPLC, CESDS, cIEF, LCMS, CD etc Experience in statistical analysis, analytical equipment/ software troubleshooting capabilities Excellent leadership, communication, and stakeholder management skills. Collaborate with teams across Upstream, Downstream, Quality, Regulatory, and Project Management functions. Strong interpersonal skills with the ability to lead, build and motivate teams Strong organization skills, able to manage conflicting tasks to meet deadlines and to solve problems on your feet, even in a busy and changeable work environment Qualifications & Experience: PhD in biological science or analytical chemistry. Working experience in Biosimilar development is desirable. Scientific background in biological product characterization, impurity identification and characterization Understanding biologic product characteristics (E.g. monoclonal antibodies, fusion proteins. Therapeutic proteins etc.) Understanding of modification of biological molecules (PTMs, etc.) Experience with DOE (Design of Experiment) tools and advanced data analysis packages Excellent understanding of analytical testing techniques such as HPLC, CESDS, cIEF, LCMS, CD etc Prior experience in analytical similarity/ Biosimilarity assessment Collaborative, enthusiastic, self-driven, and problem-solving skills are assets * Software proficiency in Microsoft Office Suite (Excel, PowerPoint, Project, Word)

OpenShift Automation Engineer We are looking for an experienced OpenShift Automation Engineer to join a platform engineering team focused on automating and scaling OpenShift Virtualization environments. The role will suit engineers with hands-on experience of OpenShift Virtualization , including VM lifecycle management and building automated platform capabilities. Candidates with a strong platform engineering background and expertise in API-driven automation within OpenShift environments are also highly desirable. Key Skills & experience OpenShift Virtualization administration and automation. VM lifecycle management, provisioning, decommissioning and migration activities. experience migrating workloads from VMware vSphere to OpenShift Virtualization . Platform engineering and infrastructure automation in cloud-native environments. GitOps-based automation using ArgoCD and CI/CD tooling such as GitHub Actions , Jenkins or equivalent. Development of infrastructure automation solutions using Python and/or Go . Strong Linux administration skills. Proficiency with YAML , JSON , REST APIs and Infrastructure as Code principles. experience building reusable automation frameworks and self-service platform capabilities. Desirable Kubernetes/OpenShift platform engineering experience. experience designing API-driven automation for virtualised and containerised platforms. Exposure to hybrid infrastructure environments and modern platform operating models. experience contributing to software engineering best practices, including version control, testing and code reviews. Logistics 3 days onsite Inside ir35 Initial 6 month contract Job Title: Openshift Engineer Location: Manchester, UK Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield. TPBN1_UKTJ

Requisition ID: 90About UsDuco is on a mission to reduce the time spent on data-related work by 90%. Our enterprise data automation platform empowers teams to work more efficiently and meaningfully by giving them the ability to automate data controls with the latest technology, such as no-code, the cloud, and AI.We help firms to start trusting their data, by giving them one intuitive platform to automate the front-to-back processing of all kinds of data (from structured Excels and RTFs to unstructured PDFs and emails). This eliminates the boring manual work across the data lifecycle and enables firms to act faster, work smarter, save money, reduce risk and comply with regulatory requirements.We’re headquartered in London and have offices in New York, Wroclaw, Singapore, and Antwerp. We’re proud to call some of the largest global financial institutions our clients, including over 15 of the world’s largest international banks, as well as brokers, exchanges, asset managers, hedge funds, administrators, service providers and corporates.About the roleYou will work in one of our cross-functional, empowered engineering teams. Each team owns its part of the product and makes decisions jointly, alongside Product, Sales and other customer advocates. You won't just build what someone else specifies; you will create new solutions to difficult problems and help take the platform to the next level.As a Senior Engineer, you will be a subject matter expert across multiple areas of the platform, involved in cross-team technical design, and independently responsible for the full lifecycle of the projects you deliver. At this level we expect your impact to reach beyond your own work: lifting your immediate team, and raising the bar across engineering as a whole through technical leadership, reviews and mentoring.We also want you to help shape how we build. AI is already core to our product, and it is changing how we engineer software just as fast. We want someone with the curiosity and judgement to help us adopt it well, across how the whole team designs, builds, tests and ships.Working with AI at Duco We see AI as a genuine lever for how good teams build software, not a gimmick. We have made a strong start, with much more to build. A growing part of that is harness engineering: designing the environments, constraints and feedback loops that let AI coding agents work reliably at scale, so engineers shift from writing every line to designing the systems that govern how agents write code. It is a chance to apply what you know and keep learning as we build the future. In this role you will:Use AI tools effectively in your own work, from writing and reviewing code to debugging and documentation.Help shape our pipelines and harness: guides, validation loops, test generation, CI/CD and quality gates that make AI-assisted work reliable for the whole team.Bring ideas, and a healthy scepticism for hype, on where AI adds real value and where it does not.Champion safe, responsible use that respects code quality, security, data handling and our engineering standards.You need not have done all of this before. Curiosity, judgement and a few real examples will go a long way.What you will be working onDeliver features into the core product, across all areas of the technology stackOwn the full lifecycle of your work: design, development, deployment and ongoing supportLead spikes and technical design for work that spans more than one team or domainCode review your peers' contributions and give clear, constructive feedbackTackle gnarly data manipulation and scaling problems with a team of very bright peopleMentor engineers and lift capability across the wider engineering function, including in how we use AIThe RequirementsExperience delivering and supporting resilient software that scales, in a multi-language, multi-technology stackDeep experience with Java and familiarity with a web framework (Spring Boot or Ruby on Rails)Strong skills in automated testing (unit, end-to-end, performance, stress) and a high bar for qualityWorking knowledge of SQL and relational database concepts at scale, including performance optimisationTechnical or team leadership experience, with practical experience of service-oriented architectures and container-based deployment (e.g. Kubernetes, Helm)A genuine interest in using AI to improve software engineering, with ideas (and ideally hands-on experience) for applying it individually and across a team's pipelineBeneficialSolid experience with a dynamically-typed language (e.g. Ruby); JavaScript, TypeScript and a front-end framework (React)Aptitude with CI/CD pipelines (GitLab preferred) and cloud computing, preferably AWSExperience with harness engineering or integrating AI / LLM-based tooling into a workflow or CI/CD pipeline, or with AI-assisted code review, test generation or developer productivity toolingExperience of architectural migration (e.g. service extraction or refactoring) and feeding observability or metrics systemsExperience delivering and supporting resilient software that scales, in a multi-language, multi-technology stackThe Reward PackagePrivate Medical Insurance and Healthcare Cash back Plan4* salary life assuranceUnlimited annual holiday, because we trust our people to manage their own time offEnhanced family leaveEmployee Assistance ProgrammeCycle to Work and Tech Scheme4 Volunteering days offFlexible working policy (2 days per week in office)Opportunity to work abroad for up to 6 weeks per yearPersonal learning and development opportunities Referral bonus if we hire someone great who you’ve recommended to usSpot RewardsEmployee of the Month and Employee of the Year awardsWant to do a little more research before you apply?Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team thinks about life at Duco. You can also find out more about us on LinkedInDisclaimer Because we are committed to inclusivity, we strive to provide equitable opportunities for everyone. If you require accommodation during the recruitment process, please let us know at talent@du.co. Include your contact information, the role you're applying for, and how we can accommodate you.During the interview process and after hire, Duco does not discriminate on the basis of race, colour, gender or gender expression, sexual orientation, marital or pregnancy status, national origin, age, disability, religion or creed, socioeconomic background or status, size, or any other protected characteristic.

General InformationJob TitleAI Engineering Lead, Evals and Systems IntegrationJob ID111330Work AreasTechnology & EngineeringEmployment TypePermanent Full-TimeLocation(s)Boston, Chicago, London, Sao Paulo, WarsawDescription & RequirementsWhat Makes Us a Great Place to WorkWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.Who You’ll Work WithYou will be part of a team building Bain’s integrated suite of agentic decisioning tools that gives large organizations always-on intelligence across their most important growth decisions. The role sits at an intersection few organizations can offer: the analytical depth and client access of a top-tier consultancy, the technical ambition of a product company, and engineering work at the frontier of applied AI.You will work inside Bain’s standing product team, building software that helps the world’s largest companies answer the questions that drive their business: where to invest, where to focus, and how to win. The impact of what you build is direct and immediate, and the platform compounds in value with every release.The platform has two layers working together: an agentic core and a set of decision modules, each solving a distinct commercial problem. The build lifecycle is connected to the real world: as case teams work alongside clients across industries and geographies, that feedback flows straight back to engineering and into the product. Every client engagement makes the platform smarter, broader, and more resilient.This is a startup inside an established company. You get genuine early-stage ownership and real influence over architecture and product direction, backed by Bain’s global scale, client relationships, and leadership commitment; the pace of a startup with the runway of a global firm.We are looking for engineering leads who see how to make the platform’s evaluations sharper and bring that instinct to every sprint without being asked, and who are comfortable with problems that do not have a known answer. The work involves building evaluation frameworks for LLM-based and agentic systems, systems integration testing, and data problems with no off-the-shelf answer. Experience with agentic systems matters: tool and context protocols such as MCP, evaluation harnesses, and entity resolution across messy enterprise data. This is applied AI in production, at scale, with real users and a team depending on how you approach problems that do not have a known answer. The field is moving quickly and the team is built to move with it, so the willingness to keep learning counts for as much as what you already know.Where You’ll Fit Within the TeamThe AI Engineering Lead, Evals and Systems Integration, owns the evaluation framework and systems integration layer across the entire Growth AI Performance System platform. This is a cross-cutting role: you are not evaluating a single agent or a single module, but the coherence, quality, and reliability of the full system: from the data ontology layer through the Agentic Core to the three product modules that clients use. Your work is the quality gate that determines what is ready to ship and what is not.You will work directly across three teams: the Data Ontology and Knowledge team, where you evaluate whether the semantic layer is producing outputs that are accurate, consistent, and consumable by downstream AI systems; the Agentic Core and Interface team, where you evaluate whether agentic workflows are executing reliably, reasoning correctly, and failing gracefully; and the Platform and Security team, where you ensure that evaluation and observability infrastructure is hardened, compliant, and integrated with the platform’s security and audit controls.You will work across the platform and product modules focused on marketing ROI, brand, and pricing strategy, defining what good looks like for each domain, building the evaluation datasets and rubrics that capture it, and enforcing deployment-readiness standards consistently across all three modules before anything reaches a live client engagement.This role has significant client proximity. You will engage with consulting teams after client deployments to understand where the system fell short, translate that feedback into structured evaluation improvements, and present quality and reliability findings to senior client stakeholders. The evaluation framework you build is not just an internal engineering tool: it is part of what makes clients trust what the platform produces.What You’ll DoEvaluation framework design and ownershipOwn and evolve the evaluation framework across the full Growth AI Performance System platform, defining quality standards, scoring rubrics, evaluation datasets, and deployment-readiness thresholds for the data ontology layer, the Agentic Core, and all three product modulesDesign and maintain evaluation datasets and regression test suites that enable systematic, reproducible measurement of system quality across the full stack: from knowledge graph accuracy and entity resolution correctness through to agentic workflow reliability and end-to-end output qualityDefine what ‘good enough to deploy’ means at each layer of the system (semantic layer, agentic orchestration, retrieval pipelines, and product module outputs), and enforce those standards consistently before any change reaches a live client environmentDesign experiments to measure system quality, detect regressions, and surface the root cause of quality failures; apply statistical reasoning and experimental design to distinguish signal from noise in evaluation resultsBuild automated evaluation pipelines that integrate into CI/CD workflows so that quality gates run before every deployment; ensure evaluation is a continuous process, not a pre-release checkpointSystems integration and cross-team evaluationEvaluate the integration points between the data ontology layer and the Agentic Core, validating that knowledge graph outputs are correctly structured, semantically consistent, and reliably consumable by agentic retrieval and reasoning systemsWork with the Data Ontology and Knowledge team to define evaluation criteria for entity resolution quality, taxonomy consistency, and data contract correctness; build the tests and monitoring that catch ontology-layer failures before they propagate downstreamWork with the Agentic Core and Interface team to evaluate multi-agent orchestration, tool use reliability, context passing, and end-to-end workflow correctness; define failure mode taxonomies and ensure the system degrades gracefully when components failWork with the Platform and Security team to ensure evaluation infrastructure is integrated with the platform’s security controls, audit logging, and compliance requirements; validate that evaluation pipelines themselves handle sensitive client data correctlyCoordinate evaluation work across distributed engineering teams; translate evaluation findings into concrete, prioritized engineering improvements and communicate quality status clearly to product and engineering leadershipInternal stakeholder communication skillsEngage with consulting teams after live client deployments to understand where system outputs fell short, tracing quality failures through the evaluation framework, identifying root causes, and feeding structured findings back to the relevant engineering teamsPresent evaluation findings, quality metrics, and system reliability assessments to senior stakeholders including executive leadership; translate technical quality measures into business terms that explain what the platform can and cannot be trusted to doContribute to internal stakeholder where the platform’s evaluation approach and quality standards are explained; build confidence in the rigor of the platform’s deployment process through credible, evidence-based communicationStay current with emerging evaluation methodologies, responsible AI assessment frameworks, and AI-specific risk and safety approaches; lead knowledge sharing on evaluation best practices across the engineering teamAbout YouTechnicalDeep experience designing and running evaluations for LLM-based and agentic AI systems across the full delivery lifecycle, with a track record of building evaluation frameworks that actually change what shipsStrong understanding of systems integration evaluation, able to design tests that validate not just individual components but the correctness and coherence of the interfaces between them, including knowledge graph outputs, API contracts, and agentic context passingStrong Python proficiency; experience building automated evaluation pipelines, regression test suites, and scoring rubrics that integrate into CI/CD workflows and run without manual interventionStatistical reasoning and experimental design: able to design experiments that measure system quality rigorously, interpret results without over-reading noise, and surface root causes of quality failures to engineering teamsFamiliarity with knowledge graph and ontology evaluation, understanding what entity resolution correctness, taxonomy consistency, and semantic layer quality mean in practice and how to measure them programmaticallyExperience with human-in-the-loop annotation and feedback systems; familiarity with preference learning, data labelling strategies, and feedback collection methodologies for LLM and agentic applicationsUnderstanding of security, audit, and compliance requirements for evaluation infrastructure: how to handle sensitive client data in evaluation pipelines, what audit trails need to capture, and how eval integrates with platform security controlsNative AI fluency: active use of AI-assisted coding tools (Cursor, Claude Code, or equivalent) and demonstrated ongoing development of evaluation methodology as the field evolvesDemonstrated commitment to responsible AI practices: risk assessment, bias and fairness evaluation, AI safety principles, and familiarity with AI-specific risks including prompt injection, data leakage, and agentic workflow exploitationExperience8 or more years in AI engineering, ML engineering, or applied AI roles with significant hands-on building responsibilitiesTrack record of building and owning evaluation frameworks for production AI or ML systems, not just contributing to evaluation, but defining the standards, building the infrastructure, and enforcing deployment gatesExperience evaluating systems that span multiple components and integration points, not just model-level evaluation but system-level evaluation across data pipelines, APIs, and agentic workflowsExperience working with or alongside knowledge graph, ontology, or semantic data teams is a strong advantageDirect experience engaging with clients or senior business stakeholders in a technical capacity, presenting quality findings, advising on system reliability, or contributing to client-facing deliveryExperience working in agile, cross-functional product or consulting-adjacent environments; strong troubleshooting and root cause analysis skillsEducationAssociate’s degree / Bachelor’s degree in computer science, engineering, mathematics, or a related technical field; or an equivalent combination of education, training, and experienceU.S. Compensation InformationCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:In Massachusetts, the good-faith, reasonable annualized full-time salary range for this role is between $198,250 – $237,500; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelIn Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $189,500 – $227,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelAnnual discretionary performance bonusThis role may also be eligible for other elements of discretionary compensation4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start dateBain & Company’s comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheckGenerous paid time off, including parental leave, sick leave and paid holidaysFully vested 401(k) company contributionPaid Life and Long-Term Disability insuranceFor all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Go back

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!The OpportunityAs a Director, AI Harness Engineering, you will lead a new internal team that lets AI coding agents do reliable work at scale. As agents take on more of the software lifecycle, the hard part is no longer writing code - agents generate it faster than humans can review it, so the bottleneck shifts to verification and trust. Harness Engineering exists to break that bottleneck: engineering the environment that steers agents toward correct, maintainable, well-architected output so that quality is enforced by the system, not re-audited by a person on every change. We call that environment the harness (Agent = Model + Harness), and we're building a dedicated Harness Engineering team to own it. This is a hands-on leadership role: you will design and build harness components while leading and growing a regional team of harness engineers and setting the quality bar for AI-assisted engineering across the organization.What You’ll ContributeHelp design, build, and evolve the harness, the guides, feedback loops, guardrails, and shared context that turn raw model capability into production-grade engineering. This is a hands-on role; you will contribute to the development, not just direct it.Build and maintain feedforward guides (agent instruction files, reusable skills, architectural rules, reference docs, and codemods) that help agents get it right the first time and drive their adoption across teams.Build feedback sensors, custom linters, structural and architecture-fitness tests, verification loops, and LLM-as-judge reviewers — that catch issues automatically before they reach human reviewers.Own AI governance for your region: define authority boundaries for what agents may merge unaided, establish LLM testing infrastructure, and ensure AI-generated output meets quality, safety, and compliance thresholds before release.Define and own cross-organizational QA and quality-gating standards, ensuring consistent, enforceable engineering practices across teams and product areas.Run the steering loop at scale when agents repeat a class of mistake, ensure a control is engineered so it cannot happen again — and treat repository knowledge (docs, specs, context) as the system of record, fighting drift continuously.Decide where each control runs in the path to production, fast checks pre-commit, moreexpensive checks post-integration, and continuous sensors that scan for drift outside the changelifecycle — keeping quality as far left as is economical.Establish observability into agent work and own the measures that matter — cost per merged PR,time-to-merge for agent-assisted PRs, review velocity relative to PR size, defect escape rate, andagent-PR survival rate — using them to direct where the team invests next.Manage, coach, and grow a geographically distributed team of harness engineers; partner withstakeholders to attract talent, set goals, and measure and reward performance.Work closely with other engineering leaders and product management to turn specifications and acceptance criteria into enforceable controls, and to align the harness with platform and delivery roadmaps.Demonstrate expertise through internal enablement, presentations, and thought leadership on agent-augmented engineering.What We’re SeekingStrong software engineering background with experience in large, complex codebases, and genuine care for architecture, testing, and maintainability - you remain hands-on.Strong consensus building skills.Hands-on experience with AI coding agents (e.g. Claude Code, Codex, or similar) and a well-developed feel for where they succeed and fail.Experience building engineering tooling across a modern stack, linters and static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability plus familiarity with agent instruction conventions such as AGENTS.md.Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work.A systems mindset - you'd rather fix the environment than fix one output and the ability to encode"what good looks like" into mechanical, repeatable rules.Judgement about when to reach for deterministic, computational controls (type checkers, linters, structural/architecture-fitness tests) versus inferential, LLM-based ones (AI code review, LLM-as-judge) and an understanding of the cost, speed, and reliability trade-offs between them.Demonstrated experience owning AI governance and cross-organizational quality standards, including establishing LLM testing infrastructure and quality gating for AI-generated artifacts.Working knowledge of the security surface unique to autonomous agents, prompt injection,tool/permission scoping, sandboxed execution, and audit trails for agent actions and how todesign least-privilege guardrails around them.Strong experience managing geographically distributed, high-performing engineering teams, including navigating the organizational change that AI adoption brings.Excellent communication skills to articulate design, strategy, and standards across teams.Bachelor's/Master's in Computer Science or related discipline, or relevant experience in software architecture, design, development, and testing.Ideally you be a great evangelist too – not just able to build the systems, but someone who likesgoing out to our internal user base, evangelising what we are doing, the benefits, tips and tricksetc, but also listening to them, what works and what doesn’t and bring that back to the rest of theteam.Our Offer to YouAn inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.#LI-CK1Why Make a Move to FICO?At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.FICO makes a real difference in the way businesses operate worldwide:• Credit Scoring — FICO Scores are used by 90 of the top 100 US lenders.• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.• Lending — 3/4 of US mortgages are approved using the FICO Score.Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!Learn more about how you can fulfil your potential at FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.Information submitted with your application is subject to the FICO Privacy policy atSummaryLocation: Work from Home, United KingdomType: Full time

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Applied AI EngineerYou will be responsible for :Contributing clean, production-quality Python code for multi-agent systems and applied AI components.Designing and implementing component-level solutions, including prompt construction approaches and tool integration methods.Building and maintaining test coverage across individual AI modules to ensure reliability and quality.Leveraging AI-powered coding assistants (Claude Code, Cursor, Codex) to accelerate development and maintain high engineering standards.Adhering to responsible AI standards, flagging potential compliance, bias or data handling concerns early.Participating actively in code reviews and pair programming to continuously develop your technical skills.Collaborating with AI platform and product teams to understand requirements and integrate shared tooling.Skills and experience we’re looking for :You’ll bring experience in many of these areas:Python Proficiency: Ability to write clean, maintainable and testable production Python code.Foundational AI/LLM Knowledge: Understanding of how LLMs are applied in production settings (agents, RAG, prompt engineering).GenAI Frameworks: Exposure to frameworks like AWS Strands, OpenAI Agents SDK, Google ADK, DSPy or similar libraries (LangChain/LangGraph, LlamaIndex).Software Engineering Fundamentals: Solid grasp of version control (Git), testing strategies and CI/CD pipelines.AI Coding Tools: Fluent use of modern AI coding assistants (Cursor, Claude Code, Codex).Cloud Awareness: Familiarity with cloud environments, preferably AWS.Quality & Governance: Curiosity about AI evaluation frameworks and a willingness to work within regulated governance standards.Education & Experience: A degree in Computer Science, STEM or equivalent practical experience, supported by relevant portfolio projects, open-source work or internship experience. (AWS Cloud Practitioner certifications are a bonus).Mandatory Skills: AI for SDLC. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Data Engineer Trading Platform Remote Up to £200k Plexus is working with a client in the DeFi trading space. They are a permission less, on-chain trading protocol allowing anyone to trade stocks, commodities, currencies and crypto through a fully transparent, auditable stack. They have raised $30M+ from a strong group of institutional and strategic backers. They are looking for a Data Engineer to own their monitoring, parameter systems and data infrastructure as the protocol scales. Role: • Architecture and maintaining ingestion and transformation pipelines for on-chain events and market data., • Implementing parameter models as reproducible, versioned code for review and deployment., • Designing Grafana dashboards and alerting for protocol health and economic correctness., • Building back testing and replay frameworks to validate parameter changes under stress scenarios. Requirements: • Strong Python and SQL experience building production data pipelines., • Hands-on AWS experience across S3, Athena/Glue, Redshift and ECS/Lambda., • Proven ability to build monitoring systems with Grafana, including alerting and incident workflows., • Experience productionising research logic with CI/CD, testing and reproducible environments. Benefits: • Competitive compensation package., • Flexible work arrangements., • Professional development opportunities. If you're interested, please hit the “Easy Apply” button or get in touch

For ourInnovation & Technology department inLondon we are looking to hire a: Connectivity and Messaging Engineer Innovation & Technology @ Berenberg In an era where digitalisation and modern IT infrastructure is revolutionizing banking, we are shaping a technology-driven bank in which you as an IT professional will work closely with our business units. Our technology teams offer you an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the team: We are about to start the next major overhaul of ULTRA, Berenberg’s connectivity and messaging platform. Working on this new version of ULTRA will offer ample opportunity to adopt new concepts, ideas and technologies what will allow ULTRA to stay ahead of future demands. As engineer in this role you will be working on our in-house micro-service, fully Kubernetes (K8s) deployed connectivity & messaging platform ULTRA, which enables practically all application in our IB trading stack to talk to each other in a flexible, reliable and secure manner. ULTRA also provides our FIX based client and exchange connectivity. What will you do? • Working on ULTRA puts you right into the middle of IB engineering life as you will be collaborating and interfacing practically with all other IB teams and most other systems, • You will also be responsible to work on new exchange gateway implementations, their ongoing maintenance as exchanges evolve their gateways, • Being such a mission-critical system which typically runs 24/7, any new features and changes to ULTRA will have to be fully tested in an automated manner. The role also comes with support responsibilities of varying degree Who are we looking for? • Deep and solid experience with Java creating scalable, understandable and fully tested code for low-latency, high-throughput applications, • Profound OOA & OOD skills, deep understanding of multi-threading as well as general concepts of messaging patterns (point-to-point, pub/sub etc, event-driven), • Experienced with the full development life-cycle: implementation, review, full automated testing, release and familiarity with the processes and tools this typically includes (CI/CD pipelines etc), • Profound understanding of the FIX protocol and how FIX engines generally work, • TCP/IP, UDP – good understanding of IP networks, such as routing tables, subnets, BGP, • Working with containers (aka Docker) and Kubernetes highly advantageous, • Somebody who naturally and continuously strives to improve a product and its ‘eco-system’ (which includes CI/CD pipelines, automated [performance] testing, [performance] monitoring) and can do so by ‘keeping things simple’ What we offer you: • Private pension plan - 10% of base salary contribution by Berenberg, • Generous 30 day holiday allowance, • Private Health Insurance, • Life Insurance scheme, • Flexible working hours, • Enhanced parental leave policies, • Employee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topics Apply online now to join our team – we look forward to receiving your application! We are a leading European private bank, with over 430 years of experience and deep rooted history, but we are still shaping and heavily investing in our future. Our progress and evolution are driven by our people. We encourage them to try new approaches, voice their opinions and achieve success in their own way. We provide opportunities for them to develop their talents, explore different career paths and achieve their full potential. We’re an ambitious, forward-looking business, backed by centuries of tradition and built on innovation. You’ll find a culture that encourages people to think independently, act entrepreneurially and challenge the status quo. We place great importance on working on site, as we believe that being together in the office not only fosters creativity and efficiency, but also strengthens networks and builds trusting, collegial relationships. For us, this forms the foundation for productive and successful work. Together we collaborate to shape our business and fulfil our ambitious goals. We welcome you to join us in our commitment to always do the right thing for our people, clients and our business – Our future is where you take us! We will only accept applications submitted through our online application management system on the website. Berenberg is an Equal Opportunities Employer and prides itself on being a modern, dynamic and internationally orientated organisation. We value the rich diversity, skills and abilities and creative potential that people from differing backgrounds and experiences bring to the workplace. Every employee plays a vital role in providing quality service to all our customers and helping to create and inclusive working environment, where everyone can realise their full potential. We’re committed to finding reasonable accommodations for candidates who require adjustments during our recruiting process. Please contact us directly on recruitment@berenberg.com to discuss.

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview About the Team: Build the next generation of agentic AI. The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you'll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment. This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You'll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production. With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi. If you want to do more than experiment with AI - and build, deploy and scale systems that deliver real business value - this is where you can make your mark. About the Role: The Forward Deployed Engineer is an intermediate-level software engineering position responsible for constructing automated evaluation harnesses, curating regression testbeds, optimizing prompts and output schemas, and automating testing pipelines within embedded LOB delivery pods. The overall objective of this role is to ensure the reliability, accuracy, and safety of production AI agents by building rigorous evaluation suites in Agentflow Studio and driving automated CI/CD test execution. Responsibilities: • Conducts tasks related to the construction, calibration, and execution of automated evaluation test suites using Agentflow Studio, measuring agent task completion, tool call correctness, latency, and hallucination metrics., • Curates and maintains domain-specific golden datasets, synthetic benchmarks, and regression testbeds in collaboration with LOB domain experts and senior engineers., • Optimizes prompt templates, system instructions, few-shot examples, and structured JSON output parsers (Pydantic/JSON Schema) to maximize deterministic agent behavior., • Authors and maintains automated test execution and deployment pipelines within Lightspeed CI/CD, enforcing continuous evaluation gates prior to staging and production rollout., • Utilizes in-depth specialty knowledge of Python applications development to analyze complex agent errors, evaluate system performance, and recommend advanced coding and prompt solutions., • Recommends and implements security measures and Lakera Guardrail policies in post-implementation analysis of agent usage to ensure safe functionality., • Monitors and controls evaluation test cycles, providing operational support, performance metrics, and prompt diagnostic reporting to business stakeholders and squad leads., • Has the ability to operate with a limited level of direct supervision, exercising independence of judgement and autonomy while acting as an evaluation SME to pod team members., • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications:, • Relevant software engineering or systems analysis experience or a specialized focus in Python and Generative AI application development)., • Solid Python programming proficiency, with practical experience integrating REST/gRPC APIs, Docker containers, and Git workflows., • Strong working knowledge of AI evaluation frameworks, benchmarking methodologies (BLEU, ROUGE, semantic similarity, LLM-as-a-judge), and automated testing suites., • Experience in managing and implementing automated test pipelines in CI/CD environments (Lightspeed, Tekton, Jenkins)., • Ability to work effectively under pressure, managing tight sprint deadlines and unexpected changes in model outputs or LOB requirements., • Good written and verbal communication skills with a methodical, detail-oriented approach to software quality and data integrity. Education:, • Bachelor's/University degree or equivalent experience in Computer Science, Data Science, or related quantitative discipline. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.To learn more about CIBC, please visit CIBC.comJob PurposeThe Senior Director, Global Markets Data & AI Engineering will lead the strategy, design, and delivery of data, analytics, and AI engineering capabilities for Global Markets. This role is accountable for building scalable, secure, and compliant platforms that support trading, sales, risk, client analytics, and control functions. The successful candidate will bring strong technical leadership, with particular strength in AI strategy, platform modernization, and production delivery in regulated financial environments.Key ResponsibilitiesDefine and execute the Global Markets Data & AI engineering strategy and roadmapModernize legacy solutions into cloud-native, reusable, and supportable servicesEstablish engineering patterns for data products, ingestion, transformation, feature engineering, model deployment, monitoring, and observabilityPartner with front office, risk, compliance, operations, and technology stakeholders to deliver business-aligned solutionsDrive adoption of automation, AI augmented development and agentic workflows where appropriateEnsure solutions meet requirements for security, governance, records management, auditability, and regulatory complianceLead and develop high-performing engineering teams across data, AI, and platform disciplinesSet engineering standards, delivery practices, and operational controlsExperience and QualificationsExtensive experience in technology leadership within Global MarketsProven track record of leading data & AI engineering within Global Markets domain.Strong eTrading and derivatives risk management domain knowledge.Strong experience working with senior stakeholders across business and technology functionsExperience delivering AI platforms, workflow automation, or intelligent analytics solutions preferredPreferred QualificationsExperience with AI/ML lifecycle management and MLOpsExperience with market data, trading, sales, risk, or client analytics platformsHands-on experience with kdb+/q, Spark, Kafka, dbt, Airflow, or similar technologiesExperience leading platform transformation or modernization programmesTechnical SkillsPython, Rust, SQL, API design and distributed computing.Long-horizon agentic platforms, agent memory systems, agentic RAGKubernetes, Docker, CI/CD pipelinesData engineering, orchestration, and observabilityAI/ML platforms, MLOps, and model governanceDesirable: kdb+/q, Spark, Kafka, Temporal, ScalaLeadership CompetenciesStrategic thinking and enterprise perspectiveStrong execution and prioritizationBuilds and develops high-performing teamsComfortable operating in ambiguous and fast-paced environmentsStrong focus on control, resilience, and complianceSuccess MeasuresDelivery of a scalable and governed Global Markets data and AI platformImproved speed, quality, and reuse of engineering capabilitiesIncreased adoption of AI-enabled workflowsReduced manual processes and technical debtStrong operational control, compliance, and auditabilityWhat you need to knowCIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.comYou need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permitJob Location150 Cheapside, 1st Flr,LondonEmployment TypeRegularWeekly Hours35SkillsAI Platforms, Analytics, Application Development, Business, Cloud Native, Coaching, Data Engineering, Decision Making, Design, Developing Others, Docker (Software), Domain Knowledge, Enterprise Technologies, Leadership, Long Term Planning, Machine Learning Operations, ML Platforms, People Management, Project Management, Regulatory Compliance, Risk Management, Stakeholder Management, Team Development, Technical ArchitectureSummaryLocation: London, GBRType: Full time

Job Title: 7.5T / LGVC1 Vehicle Recovery Driver Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly. Status: Permanent with immediate interview and starts Location: Chessington Pay Rate: £15 per hour Truck: Can take truck home whilst on shift so minimal travel to work costs Training: Recovery vehicle training provided - so no previous experience is required. Overview: F1 Personnel is an agency working with this well-established and highly respected local company providing Roadside Assistance, Vehicle Recovery and Repair services based in Chessington. Why This Role?: Helping people in a time of need by attending broken down vehicles by the roadside. Providing basic repairs just as wheel changes and jump starts OR Transporting vehicles that can't be repaired to the depot, local garage or customer's home address Pay & Benefits: Basic Pay: £15 per hour Overtime: Available Bonuses & Incentives: Vehicle workshop bonus OTE Pay per Year: £43,000 Shifts: 6 on / 3 off, rotating on a 4-week roster: Week 1: 06:00–18:00 Week 2: 08:00–20:00 Week 3: 10:00–22:00 Week 4: 18:00–06:00 Average Hours per Week: 55-60 hours Note: the shifts are 12-hours per day so candidates must be prepared to work these. Will include weekend and Bank Holiday working as part of the roster. Skills & Experience: All candidates must have the following: Driving Requirements: Minimum 7.5T (LGV C1) Maximum 6 points for minor endorsements, no DD, DR, IN, CD Hold current Drivers Qualification Card (DCPC) & Tacho Card Personal Attributes: Previous 7.5T driving experience Reliable, flexible, and customer-focused Able to work on own initiative and in all weathers Professional and safe driving record Vetting: Checks will include: Identity and Right to Work DBS Criminal Records Referencing for 2-years Note: If you have any unspent criminal convictions or cautions in the UK or abroad, you MUST declare them at the time of applying. All information provided will be treated in the strictest confidence and may determine if we can submit you for the position. Why This Role? Combine driving with helping people in genuine need. No multi-drops, no loading bay waits – every day is different. xrnqpay Paid training, great company reputation. Potential for a Long-term career

SC Cleared / Clearable Scala Developer - 3 months+ - £400-460 pd Outside IR35 - REMOTE UK Take the next step in your career now, scroll down to read the full role description and make your application. We are looking for an experienced Scala Developer to join and support a long-term technology programme within the UK Government. Key Skills & Experience Strong commercial experience developing applications using Scala. Strong understanding of functional programming principles and modern software engineering practices. Proven experience building high-quality, scalable backend services and distributed systems. Experience with Akka, Play Framework, or similar Scala ecosystems. Strong knowledge of REST APIs, microservices, and distributed architectures. Experience working with both relational and NoSQL databases. Strong understanding of CI/CD pipelines, Git, DevOps practices, and modern engineering methodologies. Experience working with cloud platforms, ideally AWS, with exposure to Azure or Google Cloud also beneficial. Ability to develop robust, maintainable, and scalable solutions in a commercial environment. Willingness and flexibility to provide occasional out-of-hours support when required. This temporary contract is outside IR35 and will be delivered on a statement-of-work basis. The supplier will determine the method, resources, and approach to deliver the agreed outcomes This temporary contract requires the successful candidate to undergo and be eligible for UK Security Vetting at SC/DV level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Due to the secure nature of the position and working environment, you must have, or be eligible to obtain Security Clearance List of national security vetting clearance levels with guidance on who requires clearance and what checks are completed. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. xrnqpay Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

Job Title: Class 1 Driver Ready to make your application Please do read through the description at least once before clicking on Apply. Location: Dagenham Pay Rate: Earn £18.85 to £25.00p/h Licence: Class 1 - 12 months experience essential Hours : Various shifts available - Full-time and Part-time opportunities also Fifth Wheel Recruitment are looking for Class 1 Drivers in Dagenham to work with our client, who operate across the whole supply chain, handling all aspects of logistics from beginning to end. This is a long-term opportunity with fixed shift patterns. Employee Benefits: Competitive Salary: £18.85 to £25.00 per hour Immediate Starts: Begin earning immediately Weekly Pay: Payday every Friday Overtime Opportunities: Boost your earnings Excellent Facilities: Comfortable break areas Vending machines Subsidised canteen Free, secure car parking Professional Development : Full training Free upskilling opportunities Career Growth: Excellent opportunities Roles & Responsibilities: General Haulage Some curtain sider work Delivering to large stores and RDCs About you: You will have your Class 1 Driving Licence and at least 12 months experience driving commercially. You must also have your UK DCPC card and a valid Digi-tacho card. Our client may accept up to 6 points on your licence, but we can not accept DD, TT, DR, CD, IN endorsements. As a professional Driver, you will be up to date with the WTD regulations. You will be a UK resident and will be able to travel to and from the site for your shift. We are unable to assist with VISA applications and cannot assist with relocation. Interested? xrnqpay If you are looking for a new opportunity and you have 12 months exerience driving Class 1 commercially, why not click to apply today?

Senior Penetration Tester Salary: £60,000 – £65,000 Location: Remote Security Clearance: SC Cleared About the Role We are looking for an experienced Senior Penetration Tester to join our growing cyber security team. This is an excellent opportunity for a technically strong security professional looking to work across a varied portfolio of complex environments and challenging penetration testing engagements. You will be involved in delivering hands-on penetration testing and security assessments for clients across public sector, Critical National Infrastructure (CNI) and large enterprise environments, with exposure to infrastructure, applications, cloud and modern containerised technologies. Key Responsibilities Deliver manual penetration testing and security assessments across infrastructure, networks, operating systems, web applications and APIs Conduct security testing across Azure, AWS and other cloud environments Assess Kubernetes, Docker, IAM and CI/CD environments Perform internal and external infrastructure penetration tests Identify, exploit and clearly document security vulnerabilities Produce high-quality technical reports and present findings to clients and stakeholders Work closely with clients to understand their environments and communicate technical risks effectively Contribute to security architecture and security control reviews Support junior consultants through mentoring, knowledge sharing and technical guidance Keep up to date with emerging vulnerabilities, attack techniques and industry developments Contribute to the ongoing development of penetration testing methodologies, tooling and service offerings Essential Experience Proven commercial experience in penetration testing / offensive security Strong hands-on experience across infrastructure and/or application penetration testing Experience working with cloud environments , particularly Azure and/or AWS Experience with modern technologies such as Kubernetes, Docker, APIs and CI/CD Strong understanding of current attack techniques, vulnerabilities and defensive controls Excellent report writing and client-facing communication skills Current UK Security Clearance (SC) Desirable CREST or Cyber Scheme certifications Experience working within Public Sector, CNI or large enterprise environments Experience leading penetration testing engagements or supporting/mentoring junior testers Experience with cloud-native and hybrid environments Cyber Security Council professional registration TPBN1_UKTJ

You’ll own how Luma’s models get served - integrating new architectures into the inference engine, scaling deployments across thousands of machines, and keeping expensive GPU fleets busy while meeting internal SLOs. This is large-scale inference systems work: scheduling, fleet management, deployment pipelines, and reliability across clusters and hardware providers. It fits a strong systems engineer comfortable with model serving and Kubernetes at scale. If you want pure modeling rather than the systems that run models, this is firmly the systems side. Ship new model architectures by integrating them into the inference engine. Collaborate across research, engineering, and infrastructure to optimize model efficiency and deployments. Build internal tooling to measure, profile, and track the lifetime of inference jobs and workflows. Automate, test, and maintain inference services for maximum uptime and reliability. Manage and optimize inference workloads across clusters and hardware providers, and scale deployments across thousands of machines. Build scheduling systems that use expensive GPU resources optimally while meeting SLOs, and maintain CI/CD for model checkpoints and SDKs. One way the first 90 could unfold. Days 1-30 - Immerse & Diagnose: Learn the inference stack, the fleets, and where reliability or utilization break. Days 30-60 - Ship & Validate: Integrate a model or ship tooling/scheduling that improves uptime or GPU utilization. Days 60-90 - Scale & Systemize: Harden deployment pipelines and scheduling across clusters and providers. Strong Python and system-architecture skills. Experience deploying models with PyTorch, Hugging Face, vLLM, SGLang, TensorRT-LLM, or similar. Experience with queues, scheduling, traffic control, and fleet management at scale. Experience with Linux, Docker, and Kubernetes, and with orchestration, deployment, and scheduling. Familiarity with Redis and S3-compatible storage. Modern networking stacks including RDMA (RoCE, InfiniBand, NVLink). High-performance large-scale ML systems (100+ GPUs). CUDA, and FFmpeg or multimedia processing. About Luma: Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence - the next step beyond language models comes from vision. Luma is an equal opportunity employer. #J-18808-Ljbffr

Location: London, UK Work Model: Hybrid Employment Type: Full-time / Fixed Term Contract Seniority: Senior / Lead We are seeking an experienced Camunda Architect to lead the design, architecture, and implementation of enterprise-grade workflow and process orchestration solutions. This role is responsible for defining architecture standards, guiding engineering teams, and ensuring scalable, secure, resilient, and maintainable process automation solutions using Camunda, with a strong preference for Camunda 8. The successful candidate will act as the technical authority for workflow orchestration and will work closely with stakeholders, solution architects, developers, and DevOps teams to deliver high-impact automation solutions aligned to business and engineering objectives. Candidates with strong Camunda 7 experience may also be considered, provided they can clearly demonstrate an understanding of: • the differences between Camunda 7 and Camunda 8, • the trade-offs between the two platforms, • when each is most appropriate, • readiness to work in a Camunda 8-led environment Architecture & Solution Design • Define and own the end-to-end architecture for Camunda-based workflow and process orchestration solutions, • Lead the design of scalable, resilient, and cloud-native workflow architectures using Camunda / Zeebe, • Establish architecture standards and best practices for:, • BPMN, • DMN, • workflow orchestration, • process governance, • versioning and lifecycle management, • Translate complex business processes into robust and maintainable technical solutions, • Architect integrations with microservices, APIs, and event/messaging platforms, • Design for scalability, fault tolerance, performance, and operational resilience, • Guide deployment strategy across Camunda SaaS and self-managed models, • Collaborate with engineering and DevOps teams on:, • CI/CD pipelines, • containerised deployments, • Kubernetes-based environments, • observability and platform monitoring, • Provide technical leadership and architectural guidance across engineering teams and delivery squads, • Mentor engineers and support the uplift of workflow orchestration capability across the organisation, • Evaluate tools, patterns, and frameworks to improve process automation capability and architectural maturity Required Skills & Experience • Strong experience designing and implementing solutions using Camunda, ideally Camunda 8 / Zeebe, • Camunda 8 Certification strongly preferred, • Deep understanding of:, • BPMN 2.0, • DMN, • workflow orchestration patterns, • Strong software architecture and system design experience, • Strong background in:, • microservices architecture, • event-driven systems, • distributed systems, • Strong backend engineering experience using Java / Spring Boot or equivalent, • Experience working with:, • REST APIs, • Kafka / RabbitMQ / messaging systems, • Docker, • Kubernetes, • cloud-native deployments, • Strong understanding of security, scalability, resilience, and reliability principles, • Strong communication and stakeholder management skills, • Ability to balance technical architecture with practical business and delivery outcomes Experience with both Camunda 7 and Camunda 8; Camunda SaaS and self-managed deployments at scale; exposure to cloud platforms such as: • AWS, • Azure, • GCP, • Observability tooling such as:, • Prometheus, • Grafana, • OpenTelemetry, • Experience with:, • enterprise integration patterns, • API management, • workflow/task UI localisation, • Experience in regulated industries such as:, • Banking, • Insurance, • Healthcare This role is best suited to someone currently operating as a: • Camunda Architect, • Workflow Architect, • BPM Architect, • Process Orchestration Architect, • Lead Solution Architect (Workflow / Automation) #J-18808-Ljbffr

Senior Data Engineer to lead and drive forward complex and high-impact data initiatives. Howden Group Services is expanding its internal data engineering capability and is looking for a highly experienced Senior Data Engineer with deep expertise in Databricks and Azure data services. The ideal candidate will have a strong background in designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes. The role requires a strategic thinker who can lead technical design discussions, drive best practices, and mentor junior engineers. The successful candidate will be comfortable managing multiple deliverables, working closely with stakeholders, and implementing robust data solutions to enable business insights and operational efficiencies. • Lead the development of metadata ingestion frameworks and orchestration processes., • Design and implement scalable and reusable metadata-driven services to optimise data pipelines., • Architect and maintain robust data solutions using Databricks and Azure services (such as Autoloader, Spark Declarative Pipelines Azure Data Factory (ADF), Azure Functions, and Azure Data Lake Storage (ADLS)).)., • Establish and enforce best practices for data engineering, CI/CD pipelines, and DevOps for data., • Collaborate with business stakeholders, data scientists, and analysts to understand data needs and translate them into efficient engineering solutions., • Optimise and enhance existing data pipelines for performance, reliability, and scalability., • Drive the adoption of data governance and security best practices., • Lead the design and maintenance of ETL processes, • Mentor and support junior engineers, sharing best practices and driving a culture of continuous improvement., • 8+ years of experience in data engineering with a strong focus on Databricks (SQL & PySpark)., • Extensive experience with Azure data services, including ADF, ADLS, and Azure Functions., • Proven track record of designing and implementing metadata-driven data pipelines., • Deep expertise in orchestration and data workflow automation e.g. Airflow, DBT., • Strong understanding of CI/CD practices for data engineering., • Experience with infrastructure as code (Terraform, Bicep, or ARM templates) (preferred)., • Solid development and coding standards, with experience in software engineering best practices., • Experience leading technical design discussions and driving architectural decisions., • Strong stakeholder management skills, with the ability to translate business requirements into data solutions., • Knowledge of data governance, security, and compliance best practices., • Experience working with insurance data (not essential, but preferred). This role is an excellent opportunity for an experienced Data Engineer who wants to take on a leadership role, influence best practices, and drive high-impact data initiatives in a modern Azure-based data ecosystem. #J-18808-Ljbffr

Oliver Wyman Oliver Wyman is a global management consulting firm. We work with clients through their most defining moments, combining deep industry knowledge, specialized expertise, and the power of perspective to help them adapt, grow, and thrive. We believe diverse perspectives make the work stronger. Our consultants bring different backgrounds, experiences, and ways of thinking to help solve complex problems and create lasting impact for clients, colleagues, and communities. At Oliver Wyman, we are proud of the values that we aspire to live by. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential. Quotient — AI by Oliver Wyman brings together deep industry insight, strategic advisory, and hands‑on AI delivery to help organizations move from proof to production and from production to enterprise value. WAVE is a newly created team within Quotient. It exists to accelerate AI-enabled business development and help our teams move faster, think differently, and build with reuse in mind. As Platform / Infrastructure Engineer, you will own the foundations that make WAVE work. You will design and maintain the infrastructure that allows a small, fast‑moving team to prototype quickly, deploy reliably, and scale with confidence. This is a hands‑on role for someone who enjoys building dependable engineering foundations and creating self‑serve platforms that help others move faster. You will create the infrastructure that lets WAVE move from idea to deployment with speed, consistency, and control. You will: Design, build, and maintain the team’s cloud infrastructure and deployment pipelines. Set up CI/CD, infrastructure‑as‑code, and disaster‑recovery capabilities so solutions can move from prototype to deployment quickly and repeatably. Provide infrastructure as a service to the rest of the team through self‑serve environments that do not bottleneck on you. Advise on the right infrastructure setup for each solution, including what is needed to support scale. Work closely with the AI Engineers to ensure their work can be deployed, monitored, and maintained effectively. Help WAVE make practical choices about environment design, release management, and operational resilience. Support a consistent engineering experience across projects, so the team can build once and reuse where possible. Contribute to a platform mindset across WAVE, where infrastructure is treated as a product the team can rely on. Our success is simple to state: the team should be able to move fast without losing reliability. You’ll know you are succeeding when engineers can self‑serve the environments they need, when deployments are smooth and repeatable, and when the infrastructure consistently supports a growing pipeline of reusable AI work. You can be your best here. At Oliver Wyman, you will find meaningful work, talented people, and a culture built on trust, support, and growth. Create solutions that have impact Build the technical foundations that help WAVE deliver AI‑enabled work faster and more reliably. Help turn promising ideas into deployable solutions that can support proposals, prototypes, and reusable assets. Be part of a team where your work directly shapes what the business can build, reuse, and scale. Develop as a leader Take ownership from day one in a role that sits at the centre of WAVE’s engineering environment. Build credibility by helping others move quickly without compromising quality, reliability, and good engineering practice. Lead through technical judgement, practical problem solving, and clear communication. Learn without limits Build a rare mix of cloud engineering, platform thinking, and exposure to AI‑enabled consulting work. Work closely with AI Engineers, the Technical Business Partner, and colleagues across Quotient and the wider firm. Deepen your understanding of how to design infrastructure for speed, reuse, and scale in a consulting environment. Thrive in a vibrant and inclusive culture Work as part of a collaborative team that values different perspectives and practical problem solving. Help shape how a new team grows, in a culture where people are encouraged to speak up, share ideas, and move quickly together. Join an environment that supports inclusion, teamwork, and mutual respect. Experience rewards that work for you Enjoy a role designed for learning, visibility, and growth inside a newly created team. Be part of a pilot that is built to scale, giving you exposure to how a new capability is shaped from the ground up. Work in a way that supports performance, development, and sustainability. We are looking for someone who is comfortable building and running internal platforms that other engineers depend on. The right person will combine strong engineering depth with practical judgement, and will enjoy working in a small team where infrastructure directly shapes delivery speed and quality. This role is well suited to someone who wants to work at the intersection of cloud engineering, platform reliability, and AI-enabled delivery. Required qualifications Strong hands‑on experience with Kubernetes and a major cloud platform, ideally Azure and/or AWS. Solid experience with CI/CD and infrastructure‑as‑code. Experience designing and supporting disaster‑recovery capabilities. Ability to build and run internal platforms that other engineers depend on. Practical understanding of how to support deployment, reliability, and scale across multiple solutions. Full professional English. Preferred qualifications Experience supporting data and AI workloads in production. Familiarity with Polaris Experience working in a fast‑moving environment with multiple concurrent initiatives. Experience shaping platform standards or reusable engineering patterns. At Oliver Wyman, we want you to shine in your interview. Our process is designed like our work environment — it is challenging, exciting, and fun. We keep our process short and transparent: • Screening conversation with the team lead., • Technical exercise relevant to the role, either take-home or live depending on the stage., • Two to three team-fit and craft interviews, including at least one with a partner., • Offer. We assess both technical craft and the ability to work fluidly with a multidisciplinary team. Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visitoliverwyman.com, or follow us onLinkedInandX.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person. #J-18808-Ljbffr