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hackajob is partnering directly with Google to hire for this role. As the Strategic Partner Development Manager, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud's Product Management, Engineering, Marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners' sales Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Minimum qualifications: • Bachelor's degree or equivalent practical experience., • 10 years of experience in partner management, business development, sales, or channel development in the technology industry., • Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model. Preferred qualifications: • Experience launching partner products and solutions, including complex channel go-to-market motions such as multi-partner solutions, procurement through cloud marketplaces, and consumption-based solutions; experience planning and managing at strategic and operational levels., • Experience managing and growing technology partnership relationships with cross-functional teams internally and externally., • Experience interfacing with, and being a trusted partner for, C-level executives in partner companies., • Proficiency with Google Cloud AI offerings (e.g., Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source developer tool harnesses. Responsibilities: • Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence., • Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures., • Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud., • Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams. JBRP1_UKTJ

hackajob is partnering directly with Oritain to hire for this role. Oritain is a global leader in forensically verifying the origin of products and raw materials. Through our proprietary methodology we harness cutting edge science, advanced technology, and specialized services to empower the world's leading brands to ensure product integrity, meet regulatory demands, and reduce the risk of fraud and unethical sourcing. With offices in Auckland, Dunedin, London, Singapore and Washington D.C, our vision is to be the source of truth in global supply chains. Harnessing science, technology and services, our mission is to create a community of origin verified buyers and suppliers, protecting our people and the planet. Through forensic origin verification, we empower brands to make positive changes across their supply chain- creating real change in our world. About the Role We're looking for a Software Engineer who wants to do more than just work through tickets. This role offers the opportunity to work across the full stack, contribute to real production systems, and grow quickly within a high-impact engineering team. You'll be joining a fast-scaling business where engineering is a top priority, working closely with teams across London and internationally to deliver meaningful outcomes. This is an exciting opportunity to join a team that has recently gone through significant growth, offering you the chance to learn from experienced engineers and contribute to a modern cloud-based platform. You'll be working in a culture that values ownership, pragmatism, and continuous improvement. The environment is fast-paced but highly collaborative, and you'll have the chance to make a meaningful impact early on. Key Responsibilities In this role, you will build and maintain backend services and APIs using Python frameworks such as Django or FastAPI, while also developing modern, responsive frontend experiences using React and TypeScript. You'll take ownership of features from design through to deployment and iteration, ensuring that your work delivers real value to end users. Alongside feature development, you will play a key role in improving system reliability, performance, and scalability by identifying bottlenecks, optimising queries and services, and contributing to performance improvements across the platform. You will work within a cloud-based environment, collaborating on deployments, CI/CD pipelines, and infrastructure improvements, gaining exposure to the full software lifecycle. You will also be responsible for debugging issues across the stack, supporting production systems, and contributing to root cause analysis when problems arise. A key part of the team's approach is leveraging AI-assisted development tools such as Copilot, Cursor, or Claude, and you'll be expected to actively use these tools to improve productivity, code quality, and learning. Skills & Experience We're looking for someone with solid commercial experience in software engineering and a track record of contributing to production systems in a professional environment. You should have strong foundations in either backend or full stack development, ideally with hands-on experience in Python and a modern JavaScript framework such as React. You will be comfortable working with RESTful APIs, understanding application architecture, and writing clean, maintainable, and testable code. Experience working within cloud environments such as Azure, AWS, or GCP is highly desirable, along with some exposure to CI/CD practices, version control, and modern development workflows. You should demonstrate a willingness to learn new technologies and work across different areas of the stack, with a problem-solving mindset and a pragmatic approach to engineering. We are particularly interested in candidates who are already using, or actively adopting, AI-assisted development tools as part of their day-to-day work, as this is becoming an integral part of how the team operates. Strong communication skills and the ability to collaborate effectively in a cross-functional and distributed team are also essential. Company Benefits Paid Leave- 35 days (inclusive of public holidays) Birthday Off Volunteering Leave Allowance Enhanced Parental Leave Life Insurance Healthcare Cash Plan Employee Assistance Programme (EAP) Pension Monthly Wellbeing Allowance Breakfast, Snacks, Friday lunch & Barista Coffee Machine in the office Learning Portal with over 100,000 assets available to support professional development Hybrid working set-up (Farringdon, London) We believe great teams are built from different perspectives, experiences, and ways of thinking. We welcome applications from everyone and encourage you to bring your whole self to the process. If there's anything we can do to support you, including any reasonable adjustments at any stage of hiring, please let the team know. JBRP1_UKTJ

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - eTrading team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification on software engineering* concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced knowledge and demonstrated skills in in programming languages C and C++ Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Hands on experience working within Financial Services Industry Hands on experience on high throughput and low latency systems Hands on experience in electronic trading systems ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. TPBN1_UKTJ

Junior Maintenance Engineer Location: Chesterfield Salary: £13.00 to £15.00 per hour + Overtime (1.5x) Hours: Monday to Friday, 7:30am to 4:00pm (Days) Job Type: Full Time, Permanent The Company Our client is a well-established manufacturing business with a long-standing reputation for quality and innovation. Due to continued growth, they are looking to recruit a Junior Maintenance Engineer to join their friendly and supportive engineering team. This is an excellent opportunity for someone looking to begin or develop their engineering career within a manufacturing environment. The company is committed to investing in its people and offers genuine training and progression opportunities. The Role As a Junior Maintenance Engineer, you'll work alongside experienced engineers, learning the skills required to maintain production equipment and support the smooth running of the manufacturing operation. Your responsibilities will include: Carrying out planned preventative maintenance (PPM) on production machinery and equipment. Assisting with reactive maintenance and responding to equipment breakdowns. Working closely with the production team to maximise machine performance and minimise downtime. Ensuring all maintenance activities are completed safely and in line with company procedures. Completing maintenance records and documentation accurately. Developing your engineering knowledge through structured training and hands-on experience. What We're Looking For We're keen to hear from candidates who have: A BTEC, NVQ, apprenticeship, or equivalent engineering qualification, or some practical engineering or maintenance experience. A genuine interest in engineering and learning new skills. A positive attitude and strong work ethic. Good communication skills and the ability to work well as part of a team. A proactive approach to problem solving. What's on Offer? £13.00 to £15.00 per hour. Monday to Friday days, 7:30am to 4:00pm. Overtime paid at 1.5x. Excellent training and development opportunities, including funded courses. Clear progression within the engineering department. If you're looking to kick-start your engineering career with a company that genuinely invests in your development, we'd love to hear from you. Apply today with your CV for immediate consideration TPBN1_UKTJ

Job title: Transformation Principal Pricing Analyst Location: Peterborough, Manchester, London, Stoke-on-Trent (flexible hybrid working) We support remote working with occasional travel to our offices. Are you ready to use your technical expertise to help transform pricing capabilities? At Markerstudy, we're on a mission to redefine how we deliver value to our customers and the business. This is your opportunity to join our Pricing Transformation team and play a key role in shaping the future of pricing across one of the UK's leading insurance providers. Why this role matters As Transformation Principal Pricing Analyst, you'll combine advanced technical skills with thought leadership to deliver innovative pricing solutions that maximise value for both customers and the business. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to embed cutting-edge methodologies across the department. Ultimately, you'll play a pivotal role in driving the evolution of our pricing capability and ensuring we stay ahead in a fast moving market. What you'll do: • Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles., • Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions., • Research, develop, and champion best practice methods; upskill the team through coaching and code reviews., • Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks)., • Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels., • Collaborate with Modelling, Optimisation, and Street Pricing teams to ensure solutions meet business objectives and are production ready., • Coach and mentor team members, fostering a culture of innovation and continuous improvement. What we're looking for: • Previous experience in general insurance pricing., • Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models)., • Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL., • Good knowledge of Azure Databricks and modern data technologies., • Experience with WTW Radar software and optimisation tools., • A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science., • Excellent communication skills to convey complex technical concepts to technical and non-technical audiences., • A passion for innovation, continuous improvement and challenging the norm. What we offer • A collaborative, fast-paced environment where innovation thrives., • Private medical insurance, life assurance (4x salary), and yearly bonus scheme., • 25 days annual leave increasing with length of service, plus bank holidays (with options to buy more)., • Modern, vibrant offices and flexible hybrid working., • Clear opportunities for career progression and professional development. About Markerstudy Markerstudy Group is one of the UK's leading insurance providers, known for its innovative approach and rapid growth. With over 6,000 colleagues and 8 million customers, we deliver a wide range of motor, home, pet, and specialist insurance products through well-known brands like Swinton, Carole Nash, and Marmalade. We're passionate about using data, technology, and creativity to make insurance smarter and more accessible. Joining our Pricing team means you'll work across multiple areas of the business, gaining exposure to a wide variety of challenges and opportunities. You'll be central to shaping customer pricing strategies, driving value, and influencing decisions at the heart of a dynamic, forward-thinking organisation. As a business committed to sustainability and investing in its people, we're proud to hold Investors in People Gold accreditation. We offer clear opportunities for career progression, professional development, and the chance to make a real impact in a growing organisation where your work truly matters. Ready to make your mark? Apply now and help lead the future of pricing transformation at Markerstudy. JBRP1_UKTJ

hackajob is partnering directly with Lendable to hire for this role. About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the worlds leading fintech companies and are off to a strong start: One of the UKs newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, weve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers hands in minutes instead of days. Were growing fast, and theres a lot more to do: were going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin/JVM Engineer. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, a Superapp and theyre at it again with brand new product launches this year. We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience or JVM based engineering experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin or Java but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. Theres a lot to do; building and integrating new APIs, tuning our existing services as they scale, supporting our expansion of new products and supporting services in the US. We believe that software engineering is more than just code - its about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. There is more to read about us and our Lendies in the engineering blog right here and if youd like to check our reviews out on Glassdoor you can see these here. Our Tech Stack Backend Kotlin 1.7.20 AWS GraphQL (it would be nice if you were familiar with this but its not a deal breaker) Postgres RabbitMQ Docker Kubernetes Frontend React & React Native, TypeScript, MobX, Redux, Stylus and SASS Other We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature We use JUnit Jupiter, Kotest and TestContainers for automated testing What were looking for technically Strong commercial Kotlin or JVM based engineering experience (willingness to work with Kotlin) An ability to write simple, clean code Experience and understanding of databases; relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands abstraction and interpolation Able to write comprehensive, automated tests at all levels of the pyramid Understanding of the Kanban agile methodology; not a deal breaker if you dont What kind of person youll need to be Someone who can get along with others and build relationships Someone who wants to continually learn, improve and collaborate Someone who can solve problems on their own but also knows when to go to their peers for help Someone who is a rational thinker and is aware of the why behind the way they do things Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery Life at Lendable Winning team: the opportunity to scale up one of the worlds most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog! JBRP1_UKTJ

Company Description IPS (Part of the Culina Group) works with some of the best known brands and provides cost effective and innovative co-packing, co-filling and co-manufacturing solutions within the UK. At Culina we have a winning culture, we believe that our culture is one of the reasons our company continues to thrive A place where you're valued, challenged, and inspired! Job Description The Shift engineer will provide essential engineering expertise to support Operations in reducing and eliminating downtime. This role involves both proactive and reactive maintenance. Working hours: Monday to Friday nights, 22.00-06.00 Salary: Up to £50,000 per annum (DOE) Key Duties of a Multi-Skilled Engineer: Conduct routine inspections and preventative maintenance on production equipment. Identifying and resolving any potential issues before they cause failures. Respond rapidly to machinery breakdowns, diagnose the problems and perform repairs or report back to engineering team leader if external specialists are required. Carry out machine adjustments, Size changes, machine settings when mods are made. This is to help support the production function. Monitor and Calibrate equipment to ensure accuracy, quality, and safe standards are met. Keep accurate records of maintenance i.e. PPM schedules, Shift Reporting etc. Adhere to health & safety guidelines and ensure compliance with company policies and procedures. May from time to get involved with project work to get equipment back up to standard which would assist in helping production performance figures. Familiar with maintaining packing equipment would be an advantage: Experience of pneumatics Horizontal flow packers Vertical form fill baggers Carton erectors Multi-Heads Gluing systems Metal detectors/check weighers X-ray Various bespoke hand packing/labelling lines some with printers. Qualifications Strong Knowledge of mechanical and electrical systems - Preferable electricalbias. Experience working within a food/manufacturing environment is desirable not essential. Experience within Food packaging would an advantage but not essential. Understanding of food safety and hygiene is preferred. Good practice of Health & Safety. Proficient in troubleshooting and repairing industrial machinery including Baggers, Multi-heads, conveyors, packaging equipment. Proactive approach to maintenance and commitment to ensuring the highest levels of equipment reliability. Ability to train and development colleagues when required. Good communication skills, and the ability to make decisions on the spot. Ability to work under pressure within a fast paced environment. Additional Information As part of our drive to make IPS a great place to work, we are proud to be an inclusive and diverse organisation where we are committed to employee development and recognising success for hard working performers. Our dedicated learning and development programmes are open to every employee to give you the opportunity to shape your own future within logistics and continue to work in an environment where team culture thrives. Our people are the driving force behind our success, which is why we offer a wide range of benefits which include: Holiday Entitlement • 20 days plus the normal bank holidays. Pension scheme 4% employee and 4% employer contribution. Life Assurance - x2 your annual salary. Wellness Via our Employee Assistance Programmewe offer immediate access to a confidential telephone counselling and legal information service that operates 24 hours a days, 365 days a year. Eye Care Vouchers We can provide you with substantial savings with free eye tests and discounts on prescription glasses. Reward & Recognition We recognise that employees have gone the extra mile via Employee of the Month and Year, special recognition and long service awards. Everyday discounts - Via our benefit platform you will have access to over 50 retailer discounts for everyday savings! If you meet the requirements for the above role and are looking for your next career opportunity, please apply now and become a part of our #WinningTeam! TPBN1_UKTJ

We're currently looking for Trainee Kitchen appliance Engineers in this area! About your role Step into a career where your curiosity, determination and appetite for hands-on learning really count. As a Trainee Kitchen Appliance Engineer, you'll play a vital role in keeping homes running smoothly by bringing essential appliances back to life, while building a future-ready skillset you can be genuinely proud of. Whether you're changing direction, starting fresh, or looking for a role with real purpose, this is your chance to grow. What matters most is your drive to learn, your problem-solving spark, and your commitment to doing great work with care and confidence. At a state-of-the-art training centre, you won't just learn the basics - you'll develop the skills, qualifications, and practical experience to thrive. You'll learn how to diagnose, service and repair a wide range of kitchen appliances, from electric ovens and hobs to washing machines, dishwashers, and refrigeration. With support from experienced engineers, you'll develop the technical expertise, confidence, and know-how to solve problems and make a real difference from day one. This is a role where you'll make a real impact. You'll be out in the community, meeting customers, solving problems, and keeping appliance powered up and safe. No two days are the same - from restoring a broken oven before a family meal to getting a washing machine back up and running, every day brings new challenges and opportunities to help customers. You'll diagnose faults, repair essential household appliances, and help customers get the best performance from their products, ensuring their homes continue to run smoothly. Every job is a chance to make a real difference. We're proud that our commitment to inclusion and developing future talent has been recognised through awards including EDI Initiative of the Year at the 2026 Women in Utilities Awards, being named a Times Top 50 Employer for Gender Equality for the fifth consecutive year If you're looking for a career with purpose, progression, and hands-on learning - and you want to feel supported as you grow - this could be your next step. Bring your ambition. Bring your curiosity. We'll help you turn it into a career that makes a difference. Here's what we're looking for: Use your CV to tell us who you are and show us why you're a great match for this opportunity ?? Shows strong technical aptitude, whether developed through study, practical experience, or a passion for tinkering, fixing and understanding how things work. Are passionate about delivering brilliant customer service and creating positive experiences for customers. Have a full UK driving licence with no more than 6 points. Are able to commit to a 7-week training programme, primarily based in Wakefield, taking place within your first four months. Any required travel and accommodation will be fully covered. Here's what's in it for you. A starting salary of £28,090 which will continue to rise as you hit specific milestones during your traineeship. Once you have completed the full programme and aftercare support your salary will increase to £40,133 with bonus and add ons on top. We also offer London Weighting Allowance ranging from £4,160 to £6,240 (dependant on location) for living or starting your day within London. An expensed van for you to use for work, including an EV charge point where applicable & charge card. TPBN1_UKTJ

hackajob is partnering directly with BNY Mellon to hire for this role. Vice President, AI / Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. Were seeking a future team member for the role of Vice President, AI / Machine Learning Data Engineerto join our Finance Engineering team. This role is located in Manchester. Role Overview We are looking for highly analytical engineers who excel at designing and building AI-driven solutions for complex enterprise problems. The role focuses on strong logical thinking, algorithmic problem solving, and system designto develop scalable AI-enabled capabilities across data platforms and applications. The ideal candidate is comfortable working across the full lifecycle of AI solution development - from problem formulation and model selection to system integration and deployment - while emphasizing sound engineering principles and architectural thinking. In this role, youll make an impact in the following ways: • Design and develop AI-powered solutions to solve complex enterprise data and analytics problems, • Translate ambiguous business problems into structured AI/ML approaches and algorithms, • Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems, • Collaborate with platform, data, and product teams to integrate AI capabilities into enterprise systems, • Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness, • Document solution design, assumptions, and algorithms for enterprise adoption To be successful in this role, were seeking the following: • Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field, • Experience in software development with additional experience on AI based frameworks, • Skills:, • Strong analytical and algorithmic problem-solving skills, • Solid understanding of machine learning concepts, statistical methods, and AI techniques, • Ability to design scalable AI systems and architectures, • Strong logical reasoning and mathematical thinking, • Exposure to AI assisted experimentation and evaluation frameworks, • Experience translating business problems into algorithmic solutions, • Ability to work with large and complex datasets, • Strong written and verbal communication skills for explaining complex concepts At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Heres a few of our recent awards: • Americas Most Innovative Companies, Fortune, 2025, • Worlds Most Admired Companies, Fortune 2025, • Most Just Companies, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your lifes journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. JBRP1_UKTJ

Entity: Technology Job Family Group: IT&S Group Job Description: We are looking for a Senior Enterprise Tech Engineer to establish and lead the Data Engineering squad within our global data team, supporting the Trading Analytics and Insights (TA&I) organisation within the Trading and Shipping (T&S) Entity. You will play a pivotal role in building and leading a high-performing, global team of engineers responsible for designing and implementing robust, enterprise-scale data pipelines, while mentoring and coaching a team of 8-10 engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering roadmap, balancing the demands of safe and reliable daily operation with the need to continually explore and bring new capabilities including Generative AI to market. This role requires expertise across: data engineering, platform engineering, software engineering, capability analysis and design and forensic problem diagnosis. You will be able to define and apply meticulous principles of automation, CI/CD and DevOps, and to lead a demanding front-office trading organisation in fully exploiting the potential of its data platform. In This Role You Will • Strategic Leadership: Establish and lead a high-performing, global data engineering squad, fostering a collaborative, results-oriented environment and owning the technical direction for the team's deliverables., • Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow., • Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time streams)., • Leverage Generative AI platforms and frameworks agents, RAG, prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation., • Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation and Total Cost of Ownership (TCO)., • Coach and mentor a team of 8-10 data engineers, providing guidance on standard processes, technical development and career growth, and fostering a culture of knowledge sharing and continuous learning., • Lead and collaborate effectively within a global, cross-functional team, building strong relationships across borders and time zones., • Drive the adoption of Agile methodologies (Kanban/Scrum) and use Azure DevOps (ADO) to plan, track and manage team workload efficiently, refining operational and capability backlogs., • Create compelling data visualisations using advanced tools (e.g. Tableau, Power BI) to communicate insights to both technical and non-technical audiences., • Champion automation tools and standard processes to deliver reliable, repeatable results, ensuring all configuration is maintained under source control with automated CI/CD deployment and test., • Develop and maintain clear, concise technical documentation for data pipelines and procedures to ensure knowledge transfer and maintainability., • Embody the spirit of continuous improvement through agile sprint retros, RCAs and design review workshops; coaching junior team members and using data to drive where the team invests. Essential Experience and Requirements • Bachelor/Master's degree or equivalent experience in Computer Science, Engineering, Information Systems or other numerate fields., • Demonstrated ability of 10 years as a Data Engineer with a proven track record of success in leading and mentoring teams., • Experience of building market data solutions within a trading or financial services environment., • In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch)., • Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations., • Mastery of SQL (including advanced optimisation techniques) and experience with relational databases (PostgreSQL preferred), including data modelling and design skills., • Extensive experience designing and building large-scale, efficient data pipelines for complex and time series data., • Proven experience with Apache Airflow for data orchestration and scheduling at scale., • Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must., • Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control and ADO (or Jenkins) pipelines., • Experience working in a Linux environment and proficiency with Git version control., • Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly to both technical and non-technical audiences., • Demonstrated experience working in a global environment and building strong relationships with teams across borders., • A passion for building high-performing teams and fostering a culture of innovation and continuous learning. Desirable Criteria • Experience with Databricks for large-scale data processing., • Experience with advanced data visualisation tools (e.g. Tableau, Power BI) with a focus on insightful storytelling., • Knowledge of Microsoft SQL Server administration and query performance tuning., • Familiarity with core cloud concepts: subscriptions, resource groups, IAM., • Knowledge of the commodities front office domain e.g. financial and physical instruments, market data prices. Why Join Us? At BP, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes-based deployments, deep observability, and cost-aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you'll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM and llm-d) in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering to deliver secure software, improve stability, and lead incident response and continuous improvement. Job Responsibilities Design, develop, troubleshoot, and deliver secure, high-quality production software and services for AI infrastructure Build backend services and APIs that enable reliable operation of AI infrastructure in production Operate and scale LLM serving infrastructure (such as vLLM and llm-d), including model hosting, request routing, continuous batching, and KV-cache optimization Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability (logs, metrics, traces) with dashboards and actionable alerting, including Prometheus metrics and Grafana/Alertmanager integration for LLM and GPU workloads Tune GPU and accelerator capacity, autoscaling, and cost efficiency for LLM inference workloads using performance and optimization techniques (e.g., quantization, parallelism, speculative decoding) Lead reliability engineering for LLM endpoints through capacity planning, load/soak testing, safe rollouts (blue/green, canary), failover, and incident response for outages and model-quality regressions Participate in an on-call rotation, lead incident triage and mitigation, and produce clear post-incident root-cause analyses and follow-ups Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi-agent systems with strong orchestration (planning, coordination, tool-calling, state/memory, and workflow control) where appropriate Contribute to an inclusive team culture grounded in diversity, opportunity, inclusion, and respect, and help drive adoption of leading-edge technologies through communities of practice Required Qualifications, Capabilities, and Skills Formal training, certification, or equivalent practical experience in software engineering concepts Hands-on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production-grade services and tooling Proficiency with automation and continuous delivery methods Hands-on experience with AWS and Terraform for infrastructure delivery and lifecycle management Strong understanding of site reliability engineering practices, including incident management, root-cause analysis, runbooks, and reliability patterns Practical knowledge of observability and instrumentation across metrics, logs, and traces Comfort with on-call operations and production troubleshooting Hands-on production experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure Knowledge of LLM reliability and risk considerations, including latency/throughput trade-offs, model and weight versioning, prompt/response logging, and safe rollout patterns Preferred Qualifications, Capabilities, and Skills Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM/llm-d Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online LLM quality monitoring (e.g., hallucination, toxicity, drift detection) and tracing via OpenTelemetry conventions Contributions to open-source LLM serving or inference projects (e.g., vLLM, llm-d, Ray, KServe, Triton) ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. TPBN1_UKTJ

Who Is This Programme For? This programme is designed for individuals with little or no previous experience. You may be: Looking for a career change A recent school, college or university leaver Currently working in another industry Leaving the Armed Forces Interested in technology and problem-solvi

hackajob is partnering directly with Lendable to hire for this role. About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin engineer to a newly forming pod. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, and they're at it again with brand new product launches this year. We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. There's a lot to do, from building and integrating new API's to help build out our new collections function to creating new internal tools and supporting our expansion of new products and supporting services in the US. We believe that software engineering is more than just code - it's about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. There is more to read about us and our Lendies in the engineering blog right here and if you'd like to check our reviews out on Glassdoor you can see these here. Our Tech Stack Backend Kotlin 1.7.20 AWS GraphQL (it would be nice if you were familiar with this but it's not a deal breaker) Postgres RabbitMQ Docker Kubernetes Frontend React & React Native, TypeScript, MobX, Redux, Stylus and SASS Other We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature We use JUnit Jupiter, Kotest and TestContainers for automated testing What technical skills you'll need to have Strong commercial Kotlin experience An ability to write simple, clean code Experience and understanding of databases; relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands abstraction and interpolation Able to write comprehensive, automated tests at all levels of the pyramid Understanding of the Kanban agile methodology; not a deal breaker if you don't What kind of person you'll need to be Someone who can get along with others and build relationships Someone who wants to continually learn, improve and collaborate Someone who can solve problems on their own but also knows when to go to their peers for help Someone who is a rational thinker and is aware of the 'why' behind the way they do things Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery Interview process A 30 minute introductory call with one of our engineers A short coding exercise to complete in your own time Onsite or Video Interview lasting 60-90 minutes, comprising of: Introduction of the team and kind of work you could be doing daily Discussion around the coding exercise you completed Interactive architecture/design exercise Tech project walkthrough Cultural/behavioural questions to see if you'd be a good fit for Lendable Questions you may have about the company, role, etc Check out our blog We also have an engineering blog where we have written in more detail how we work in the engineering team. Life at Lendable The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chef prepares fresh, healthy lunch in the office every Tuesday-Thursday Encouraged and sponsored personal and team growth through our training budget, 10% time for all engineers and active guilds Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog! TPBN1_UKTJ

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Are you passionate about building resilient, scalable systems that power the future of AI? At JPMorganChase, we're pushing the boundaries of what's possible with artificial intelligence and machine learning - and we need engineers like you to help us do it reliably, securely, and at scale. As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities - with operational excellence at the core. Responsibilities: Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast-growing demands. Own NFRs and develop tooling for observability, security, resilience, infrastructure management and operations excellence. Build and maintain scalable infrastructure to support the deployment and operation of large-scale AI platforms and apps. Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems. Participates in on-call rotations and escalation workflows, Debug and solve issues in a production environment, take full ownership of problems, develop solutions. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability. Advanced proficiency in programming with Python. Proficiency in all aspects of the Software Development Life Cycle. Experience with infrastructure-as-code and cloud-native delivery practices, including tools such as Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows. Experience in designing and developing large-scale distributed systems and cloud-native architecture. Experience building large scale infrastructure and and cloud-native delivery practice in Google Cloud, AWS, or Azure and Terraform. Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services. Systematic problem-solving and troubleshooting skills in a complex system. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Prior experience working in AI Cloud Infrastructure. Prior experience developing GenAI Apps or AI Agents. Previous experience as an Infrastructure or Platform Software Engineer in a dynamic technology company or startup. Self-managed, self-motivated with strong sense of ownership, urgency, and drive ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. TPBN1_UKTJ

hackajob is partnering directly with BNY Mellon to hire for this role. Vice President, AI / Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Vice President, AI / Machine Learning Data Engineer to join our Finance Engineering team. This role is located in Manchester. Role Overview We are looking for highly analytical engineers who excel at designing and building AI-driven solutions for complex enterprise problems. The role focuses on strong logical thinking, algorithmic problem solving, and system design to develop scalable AI-enabled capabilities across data platforms and applications. The ideal candidate is comfortable working across the full lifecycle of AI solution development • from problem formulation and model selection to system integration and deployment - while emphasizing sound engineering principles and architectural thinking. In this role, you'll make an impact in the following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams to integrate AI capabilities into enterprise systems Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness Document solution design, assumptions, and algorithms for enterprise adoption To be successful in this role, we're seeking the following: Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field Experience in software development with additional experience on AI based frameworks Skills: Strong analytical and algorithmic problem-solving skills Solid understanding of machine learning concepts, statistical methods, and AI techniques Ability to design scalable AI systems and architectures Strong logical reasoning and mathematical thinking Exposure to AI assisted experimentation and evaluation frameworks Experience translating business problems into algorithmic solutions Ability to work with large and complex datasets Strong written and verbal communication skills for explaining complex concepts At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 "Most Just Companies", Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. TPBN1_UKTJ

Another top job from ECM, the high-tech recruitment experts. To discuss your requirements call ecm or email your CV.

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. Progression into senior AI roles with higher earning potential.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. Looking to start a career in AI Engineering?.

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. Progression into senior AI roles with higher earning potential.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. We focus on outcomes, not just training.

Raytheon UK have a full time, permanent opportunity for a Senior Software Engineer to join our team on our Manchester or Gloucester sites. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Responsibilities Design and build software using industry best practice Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with your project Contribute to continuous improvement within your team Collaborate with your peers on technical direction within your team Desired Skills and Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI / Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch / Opensearch Testing & Quality Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Delivery & Collaboration Experience working in an Agile delivery team Use of code repositories (e.g. GitLab); familiarity with branching strategies, pull requests and merge processes TPBN1_UKTJ

hackajob is partnering directly with Zaizi to hire for this role. Role Overview Dept: Applied AI Team Term: Permanent Location: Cheltenham DV Clearance: Required & British Work on exciting public sector projects and make a positive difference in peoples lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Implementation Engineer, youll be responsible for taking AI models and algorithms from the research phase and maturing them into robust, production-ready software. Your focus is on increasing the Technology Readiness Level (TRL) of our AI solutions, ensuring they are scalable, reliable, and effectively integrated into business workflows to automate tasks and gain insights from data. Key responsibilities include refining model code for performance, ensuring software maturity, and solving complex technical hurdles during the transition from prototype to product. You will influence technical decisions within the team, mentor junior members, and handle 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! Requirements 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 Maturation & Delivery: Design, build, and refactor complex machine learning models, ensuring they move from experimental stages to high- quality, high-performance production software. ? Software Engineering for AI: Take the output from research activities and "harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. ? System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. ? Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high- performance execution on edge hardware, including Android-based mobile devices. ? Technical Excellence: Stay current with AI implementation best practices to ensure our solutions are maintainable and scalable. Skills & Experience ? Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. ? Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready software. ? Technology Implementation: Ability to evaluate new generative AI technologies for business relevance and feasibility, focusing on practical implementation within the National Security Domain. ? Advanced Prototyping: Delivering robust proofs of concept that bridge the gap between initial research and final application. ? Specialist Advice: Serving as a key technical resource for the practical application of generative AI within the organization. ? Data Science: Applying a range of data science techniques to support model refinement and software hardening. ? Deployment Experience: Proven experience in building and deploying complex machine learning models into live environments. Nationality Due to UK government security restrictions, you will need to be a British Citizen and have been resident in the UK for the last ten years to apply for this role. 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 youwork-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: TPBN1_UKTJ

Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2 - 3k) The Role We are looking for an experienced Systems Engineer with a keen interest in building technical solutions to help us deliver outstanding service to our customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience: 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN / LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g. MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016 / 2019 / 2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust - a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you. TPBN1_UKTJ

SC Cleared AI Engineer Role: Machine Learning AI Engineer Location: Swindon Day rate: Up to £700p.d We're supporting a long-term client in hiring an actively SC cleared AI/ML engineer to support them in the delivery of a number of currently in flight programmes. The team delivers solutions for UK Gov & Defence customers, building applications and solutions for warfighters & end users. Their software applications interact with next-generation hardware, giving mission advantage in the sky and on land. They're looking for a ML engineer with experience building & deploying production-ready software and applications in Python, specifically leveraging and building LLM capabilities with technologies such as Langchain & Langgraph. Skills/requirements; Experience developing AI/ML Applications. Python, LangChain, LangGraph, AWS, Azure, or GCP Data science/mathematical background Active SC Clearance If you're looking for your next opportunity, please get in touch. TPBN1_UKTJ

hackajob is partnering directly with Zaizi to hire for this role. Work on exciting public sector projects and make a positive difference in peoples lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, youll 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! Requirements 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. You dont meet all the requirements? Studies show that women and black, Asian and minority ethics people are less likely to apply for a job unless they meet every qualification. So if youre excited about this role but your experience doesnt align perfectly with the job description, wed love you to still apply. You might just be the perfect person for this role, or another role here at Zaizi. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio-economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview processjust ask! Security This role requires eligibility for UK Government Security Clearance. This currently means candidates must have the right to work in the UK without sponsorship and have lived in the UK continuously for the last 5+ years. Up to £75,000 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 youwork-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

hackajob is partnering directly with Zaizi to hire for this role. Work on exciting public sector projects and make a positive difference in peoples lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer, youll research machine learning models and evaluate how they can be applied within our specialist domain, working with a small team who deliver AI capabilities for the UK government. You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to keep learning as the field moves. You'll bring a general understanding of software engineering alongside your ML knowledge and enjoy research, experimenting with new approaches and figuring out how they translate into practical capability for our customers. You'll work closely with a small, high-performing team of engineers and researchers, contributing ideas and picking up new skills as you go. Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive thinking individuals with a can do attitude and a genuine appetite for learning. Our people enjoy challenging themselves to be the best at what they do, if that sounds like you, you'll fit right in! And the work itself matters: you'll be helping to keep the UK safe. Requirements These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate. Model Research & Evaluation: Research emerging machine learning models and techniques, and assess how they could be applied within our specialist domain. Applied AI Research: Turn research into practical proofs of concept, exploring generative, adversarial and other AI approaches. Domain Application: Work with the team to understand our customers problems in depth and translate ML capability into solutions that fit their specialist domain. Continuous Learning: Keep pace with the fast moving field of AI building knowledge across different model types and techniques and sharing what you learn with the team. Core Competencies Research Skills: Comfortable reading and evaluating ML research and translating findings into practical ideas worth testing. Technology Implementation: Ability to evaluate new AI technologies generative, adversarial or otherwise for relevance and feasibility within the UK Government Domain. Advanced Prototyping: Ability to build proof of concept applications that bridge the gap between initial research and real-world application. Specialist Advice: Keen to grow into a technical resource for the practical application of AI within the organisation, sharing knowledge as your expertise builds. Data Science: Applying data science techniques to support model research, evaluation, and refinement. Team Fit: A quick learner who's easy to work with, and will slot naturally into a close-knit, high-performing team. Required Skills Technical Expertise: Solid understanding of machine learning algorithms and frameworks with a general grounding in software engineering practices and a genuine curiosity about how ML models work. Python: Strong proficiency and hands-on programming experience in Python are required. ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train, evaluate, and deploy models. Version Control: Proficiency with Git for version control and collaborative development is required. Containerisation: Familiarity with Docker is required to package, deploy, and run applications across environments. Additional / Welcome Skills (nice to have) Frontend Development: Experience with frontend technologies, specifically JavaScript and React, to help build interactive user interfaces for our prototypes. Cloud Services: Experience working with cloud platforms (e.g., AWS, Azure, GCP). Systems/Backend Languages: Familiarity with other languages used for high-performance backend or ML workloads, such as Rust or C++. You dont meet all the requirements? Studies show that women and black, Asian and minority ethics people are less likely to apply for a job unless they meet every qualification. So if youre excited about this role but your experience doesnt align perfectly with the job description, wed love you to still apply. You might just be the perfect person for this role, or another role here at Zaizi. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio-economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview processjust ask! SC Clearance: Zaizi 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. Up to: £60,000 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 youwork-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. TPBN1_UKTJ

Backend Software Engineer / Developer (Python Data R&D) Cambridge onsite to £55k Would you like to work on Greenfield projects at the cutting edge of medical technology? You could be joining a well funded start-up, collaborating with scientists and other engineers to develop sensing and imaging terahertz solutions. As a Backend Software Engineer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly evolving technology that you'll be able to influence. Location: You'll join a talented team based just north of Cambridge (with parking available), on a fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle You have a good understanding of TDD, CI/CD practices and modern software engineering best practices You have experience with embedded software and / or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior engineers Ideally you will also have experience with some of the following: Anaconda, Mamba, Poetry, C++, JavaScript, Haskell, OCaml, Rust What's in it for you: As a Backend Software Engineer / Developer you will receive a competitive package: Salary to £55k Bonus Healthcare Pension Continual learning and self development Complex interesting work at the cutting edge of technology Apply now to find out more about this Backend Software Engineer / Developer (Python R&D TDD) opportunity. TPBN1_UKTJ

3rd Line Network Engineer Location: Huntingdon, UK Clearance - High DV 'Developed Vetting UNLEASH YOUR POTENTIAL Everything we do is built on a commitment to do the right thing for our customers, our people and our community. Our mission and our values guide the way we do business. The foundations of our Leidos culture are our Values, Beliefs and Expectations by which we select, recognise and reward employees. They create the environment that drives us toward our mission. Are you ready for your next challenge? You will provide a crucial role in Core Services, conducting complex fault rectification of incidents, support Problem Management, Continual Service Improvement (CSI), and occasional Change Request (CR) work on IT Systems supporting key National Security outputs. 3rd Line Network Engineers conduct reactive and proactive maintenance, primarily on High Side systems, but may occasionally be required to support other lower classification systems that Leidos manage. These systems are highly utilised with many active users who operate at varying security levels. 3rd Line Network Engineers are responsible for responding to escalations from 2nd Line Engineers as well as other Resolver Groups and conduct advanced troubleshooting to diagnose and rectify issues as they arise. 3rd Line Network Engineers will be able to develop technical solutions to complex issues and problems as well as possess the ability to liaise with stakeholders at all levels of seniority, including the customer. Adherence to resolving issues and problems within SLA levels and ensuring KPIs are met is also required. 3rd Line Network Engineers will; Have a thorough and demonstrable understanding of Cisco Enterprise LAN environments at 3rd line support level including, deployment, administration and troubleshooting. Ideally to a CCNP and CCDP level. Focus on Secure LAN environments including security boundaries and rulesets. Have a good understanding of WAN connectivity and routing protocols also with experience and understanding of the implementation, configuration and management of virtual and physical networking solutions. Have hands on experience in troubleshooting Layer 2/3 switching and routing. Have hands on experience in configuring and troubleshooting VPC, VDC, STP, BGP, OSPF and other key mainstream protocols. Have hands on experience in configuring and troubleshooting Sidewinders and ASAv firewalls with a Platform focus of: ISR, 6800, 3750, 3850 series. Have hands on experience in configuring and troubleshooting Fortigate, Sonicwall, Palo Alto, ForcePoint, ASAv and Juniper Firewalls. Possess excellent communications skills, organisational skills and be independent and comfortable with autonomous working. Have the ability to tackle complex problems and incidents. Have experience in ITIL ICT service delivery on critical infrastructure. Have experience of working under pressure to meet deadlines while handling multiple priorities. Be experienced in patch management including analysis and deployment. Key Duties System Support & Ticket resolution • Utilising technical expertise to ensure that the Core Network estate is kept online and running smoothly and that Incidents are dealt with in a timely manner IAW with KPI/SLA. Problem Resolution- Work with other resolver groups, original manufacturers, Users and suppliers to perform root cause analysis, providing technical solutions to complex problems. Maintenance • Responsible for completing the and recording Periodic maintenance of all systems Utilising Periodic Preventative Maintenance (PPM) and routine upgrading activities to stay ahead of obsolescence issues. Documentation -Maintain and create documentation of system configuration changes. As well as accurately recording work in SD+. Resource Movement -Assist in the configuration, installation, and deployment of infrastructure components. Participation in Projects - Engage in infrastructure-related projects and CRs contributing to implementation build, testing phases. Key Competencies: Communications - Verbal, written including technical documentation. Collaboration - Working with other SMEs, Users & Resolver groups to ensure efficiency. Adaptability and flexibility • Able to change focus under changing situations. Technical expertise, • Ability to troubleshoot and fault rectification variety of issues. Attention to detail, • Including written and work carried out. Customer service - excellence. Teamwork - Build effective internal and external relationships. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-TIme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. TPBN1_UKTJ

Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes TPBN1_UKTJ

Role Overview We are seeking a highly skilled Electrical / PLC Engineer to join our engineering and manufacturing team. This role is responsible for maintaining, troubleshooting, and improving automated production equipment, electrical systems, and PLC-controlled machinery. The successful candidate will ensure high levels of equipment reliability, deliver robust engineering solutions, and support continuous improvement initiatives across the site. Key Responsibilities Electrical Engineering Perform routine maintenance, diagnostics, and repair of electrical systems, motors, drives, sensors, and control panels. Lead electrical fault-finding activities to minimise downtime and maintain safe operational standards. Ensure all electrical work complies with current regulations (e.g., BS7671) and internal safety standards. Assist in the design, installation, and commissioning of new electrical equipment and upgrades. Maintain documentation including schematics, layouts, and maintenance records. PLC & Automation Responsibilities Program, modify, and troubleshoot PLC systems Diagnose automation faults and implement sustainable fixes to prevent recurrence. Support integration of SCADA, HMI, and machine control systems into manufacturing processes. Optimise machine control logic to improve throughput, reliability, and safety. Participate in automation projects including equipment upgrades, new line installations, and process changes. Continuous Improvement & Projects Work closely with engineering, operations, and maintenance teams to implement improvements that increase efficiency and reduce downtime. Identify and lead proactive engineering projects to improve reliability, energy efficiency, and machine performance. Provide engineering support during root cause analysis, breakdown investigations, FMEAs, and reliability studies. Compliance & Safety Follow all site safety policies and promote a culture of safe working practices. Conduct risk assessments for electrical and automation tasks. Ensure all work aligns with relevant industry standards, safety legislation, and engineering best practice. Skills & Experience Required Essential Time-served Electrical Engineer or equivalent NVQ Level 3 / HNC / HND in Electrical or Control Engineering. Proven experience in an engineering or manufacturing environment. Strong PLC fault-finding and program modification skills. Solid understanding of industrial automation, sensors, control loops, and drives. Ability to read and interpret electrical schematics and technical documentation. Experience with electrical maintenance of production machinery. Strong problem-solving abilities and a proactive approach to engineering challenges. Desirable Experience with SCADA, HMI design, or industrial networking. Knowledge of robotics, servo systems, or pneumatic/hydraulic integration. Experience within FMCG, automotive, food manufacturing, or heavy industry. 18th Edition Wiring Regulations qualification. Why Join Us? Competitive Salary 31 days holiday (increasing with service within 2 years), plus an additional paid day for your birthday with the option to buy more holiday via salary sacrifice Pension – with up to 4 x salary & income protection, with the option to potentially save on tax and National Insurance via our salary sacrifice arrangement Comprehensive health & well-being benefits including access to in-house occupational health & well-being resources, discounted gym memberships, employee assistance programme, & mental health resources Heavily discounted group discount scheme on all products Salary sacrifice benefits – enjoy perks such as pension, cycle to work, electric car purchase, and additional annual leave, while potentially reducing your tax and NI contributions Career development and continuous learning opportunities Our Company is committed to monitoring & aligning its Policies with up-to-date Government guidance on reducing the spread of respiratory infections in the workplace. Through the Companys value of Succeed Together we are committed to Equality, Diversity and Inclusion. We recruit the best person for the job regardless of any protected characteristics as defined by the Equality Act 2010 creating an inclusive working environment and culture for our employees. TPBN1_UKTJ

AI INTEGRATION ENGINEER Salary: £55,000 - £65,000 per annum Location: Scotland Working Hours: Monday - Friday Employment Type: Permanent The Role An exciting opportunity has arisen for an experienced AI Integration Engineer to join a well-established and growing business operating within the construction and structural steel sector. This is a hands-on role for an engineer who can take AI solutions from concept and prototype through to production, helping the business identify where AI can improve efficiency, accuracy and user experience. You will work closely with internal teams to design, develop and integrate practical, secure AI solutions across existing business systems and platforms. The Company You will be joining a successful, family-run business with a long-standing reputation within the UK and Ireland's structural steel fabrication and construction industry. The business has continued to invest in people, technology and innovation and is now looking to bring AI further into its operations. This is an excellent opportunity to play a key role in developing the company's AI capability from the ground up, with significant scope for ownership, innovation and career development. Key Responsibilities Design and deliver AI solutions using Microsoft Azure, including RAG, data classification, forecasting and anomaly detection. Identify opportunities to introduce AI into existing business processes and systems. Integrate AI solutions with Microsoft 365, SharePoint, Teams, Entra ID, SQL databases and other business applications. Develop straightforward and user-friendly AI applications for web and Microsoft Teams. Develop and deploy LLM and machine learning solutions into production environments. Implement monitoring, logging and audit processes to support GDPR, ISO and wider security requirements. Work with internal stakeholders to understand business requirements and translate them into practical technical solutions. Evaluate emerging AI technologies and make recommendations regarding their potential use within the business. Ensure solutions are secure, scalable, maintainable and aligned with company standards. Essential Experience 2-4 years' experience in AI/ML, software engineering or a closely related field. Experience deploying LLM or machine learning solutions into production. Strong programming skills in Python and/or C#. Experience working with Microsoft Azure services such as: Azure App Service Azure AI Search Azure Functions Azure Storage Azure Key Vault Understanding of APIs, databases and enterprise system integration. Experience or understanding of Microsoft 365 and Microsoft Graph API. Strong analytical and problem-solving ability. Ability to take AI projects from prototype through to robust production deployment. Desirable Skills Experience with Retrieval-Augmented Generation (RAG). Knowledge of vector databases. Experience with AI frameworks such as Haystack, LlamaIndex or Semantic Kernel. Experience with forecasting, anomaly detection or data classification. Knowledge of CNC, manufacturing, construction or other industrial environments would be advantageous but is not essential. Understanding of GDPR, ISO standards and secure AI development. Ideal candidate We are looking for someone who is technically strong but also pragmatic and commercially minded. You will be comfortable experimenting with new AI technologies but equally focused on delivering solutions that are reliable, secure and genuinely useful to the business. This would suit an AI Engineer, AI Integration Engineer, Machine Learning Engineer or Software Engineer with strong AI/LLM experience who is looking to take ownership of real-world AI implementation. Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application. TPBN1_UKTJ

hackajob is partnering directly with Rentokil Initial to hire for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: ? Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions. ? Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. ? Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. ? Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. ? Support, govern and enable company-wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering ? Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation ? Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect ? Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. ? AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. ? AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. ? Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery ? Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. ? Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. ? Drive MVP to Production: Shift the teams focus from sandboxed proof-of-concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity ? Support the companys evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. ? Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. ? Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross-functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting-edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem-solving. Technical Expertise & Tools : ? Python: Advanced, production-grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. ? SQL: Expert querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments. Relevant Qualifications Desirable: ? Google Cloud Certified Cloud Engineer ? Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelors or Masters degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production-grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out. TPBN1_UKTJ

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes-based deployments, deep observability, and cost-aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you'll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering to deliver secure software, improve stability, and lead incident response and continuous improvement. Job responsibilities Design, develop, troubleshoot, and deliver secure, high-quality production software and services for AI infrastructure Build backend services and APIs that enable reliable operation of AI infrastructure in production environments Operate and scale large language model serving infrastructure, including model hosting, request routing, continuous batching, and cache optimization Deploy, host, and lifecycle-manage open-source and proprietary large language models on cloud-based container orchestration platforms and on-premises GPU clusters using reproducible infrastructure as code and continuous delivery pipelines Implement observability across logs, metrics, and traces with dashboards and actionable alerting for large language model and GPU workloads Tune GPU and accelerator capacity, autoscaling, and cost efficiency for large language model inference workloads using performance optimization techniques such as quantization, parallelism, and speculative decoding Lead reliability engineering for large language model endpoints through capacity planning, load and soak testing, safe rollouts, failover, and incident response for outages and model-quality regressions Participate in on-call rotations, lead incident triage and mitigation, and produce clear post-incident root-cause analyses and follow-up actions Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi-agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriate Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skills Hands-on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production-grade services and tooling Proficiency with automation and continuous delivery methods Hands-on experience with cloud infrastructure platforms and infrastructure-as-code tooling for delivery and lifecycle management Strong understanding of site reliability engineering practices, including incident management, root-cause analysis, runbooks, and reliability patterns Practical knowledge of observability and instrumentation across metrics, logs, and traces Hands-on experience with Kubernetes and container-based orchestration platforms, including managed cloud variants Experience hosting and serving large language models on cloud-based infrastructure and local GPU environments Knowledge of large language model reliability and risk considerations, including latency and throughput trade-offs, model versioning, prompt and response logging, and safe rollout patterns Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience operating large language model inference servers such as vLLM and llm-d (or directly equivalent model serving stacks) in production Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platforms Experience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online large language model quality monitoring, including hallucination detection, toxicity filtering, and drift detection using open telemetry conventions Contributions to open-source large language model serving or inference projects, (vLLM, llm-d, Ray, KServe, Triton) ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. TPBN1_UKTJ

hackajob is partnering directly with Raytheon UK to hire for this role. Date Posted: 2026-08-28 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Raytheon UK have a full time, permanent opportunity for a Test Engineer to join our teams in Gloucester, Manchester or London working fully onsite. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to currently hold eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Responsibilities Apply test skills and experience within the context of an Agile software delivery team Responsible for the creation and maintenance of automated test frameworks Define and manage test environments; create and manage test data; define and manage test tools Support test team interactions with the wider development team and assist in the resolution of issues Contribute to the production of test documents using appropriate tools as required Raise defects and support the wider development team in their resolution Manage creation of automated and manual test scripts Produce test and deployment strategies and plans in compliance with customer project guidelines Required Skills and Experience Experience of working in an Agile/Scrum/DevOps delivery model Experience of deploying and configuring complex software under Linux/Windows Understanding of the systems engineering lifecycle and demonstrable evidence of relevant test methodologies and toolsets Experience producing test plans and reports using applicable tools Desirable Experience of test automation frameworks and tools. Experience of scripting languages and scripting for automation. AWS and/or Azure Continuous Integration Linux system administration Ability to review and apply different tools and techniques e.g. monitoring, logging, performance testing We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application. Benefits: Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary Life Assurance with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture: 37hr working week Early 1.30pm finish Friday, start your weekend early! Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. About us At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. Were investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms TPBN1_UKTJ

Data Science /ML Engineers Location • Glasgow, (Edinburgh is also fine) Duration, • 6 months Onsite Requirements, • 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning-driven transaction monitoring capability is already underway within Retail Banking, and the team is now expanding these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches Experience working with large-scale datasets, ideally using PySpark Strong analytical and SQL skills for handling, querying, and interpreting complex datasets Ability to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similar Nice to Have Exposure to model interpretability techniques such as SHAP and LIME Previous experience within the Banking / Financial Services sector Familiarity with Financial Crime, AML, Compliance, or Transaction Monitoring domains What We're Looking For Candidates with a strong data science and machine learning background who are keen to apply their skills to real-world financial crime and transaction monitoring challenges. While prior domain experience is beneficial, strong technical capability and a willingness to learn the business context are most important. TPBN1_UKTJ

Release Train Engineer Location: Farnborough, with flexibility to work from home dependent on business demands Salary: £61,500 - £78,800 The Role: We are seeking an experienced Release Train Engineer (RTE) to lead and orchestrate the execution of Programme Increments (PIs), releases, and environment governance across a complex projects. The RTE is a servant leader and delivery enabler, responsible for ensuring that planning, execution, and release activities flow smoothly from concept through to production. This role blends PI facilitation, release management, configuration control, and delivery governance, with a strong emphasis on quality, transparency, and getting value delivered quickly. This role requires strong technical awareness, excellent organisational capability, and the confidence to coordinate across Project Management, Engineering, Operations, and Customer stakeholders in a controlled delivery environment. What will I be doing? Release Train Engineer / PI Leadership Act as the Release Train Engineer (RTE) for the Agile Release Train, facilitating execution and continuous improvement. Serve as PI Master of Ceremonies, owning the preparation, facilitation, and follow up of PI Planning events. Work closely with Product Managers to ensure Features, Enablers, and supporting scope are correctly captured and maintained in Jira. Coordinate with PMs to align priorities and respond to customer needs and dependencies. Engage with customer stakeholders on PI priorities, scope, and sequencing. Own and maintain the PI agenda, authoring and coordinating slide content to guide PI sessions. Schedule and facilitate PI events (primarily virtual), ensuring effective participation and outcomes. Produce PI level reports, including outcomes from Multi RFC PI Planning, ensuring visibility of commitments and risks. Analyse PI trends such as scope creep and velocity, working with PMs and teams to understand causes and drive corrective actions. Inspect & Adapt / Continuous Improvement Lead Inspect & Adapt, postmortems, and retrospectives. Author and coordinate retrospective slide packs, working with teams to capture learning. Schedule, record, and track Lessons Learned and improvement actions across PIs. Release Management Own and manage release scope. Define and enforce how scope is added to, removed from, or adjusted within a release. Verify all stakeholders are aligned before scope is committed to a release. Proactively work with Engineering to clarify which release branch is the origin for each change. Reconcile PI commitments against release plans, ensuring alignment between planning and execution. Communicate and manage scope changes transparently across the ART. Maintain a strong delivery mindset with a clear objective to push work into production as quickly and safely as possible. Author customer facing scope and release documentation as required. Environment Management Own the Release & Activities Environment Schedule across all environments. Coordinate sequencing of releases and activities to minimise contention and delivery risk. Ensure environment usage supports PI and release commitments. Work with PMs to secure time on the environments in support of newly contracted work in far future dates Configuration & Change Governance Act as Configuration Manager, maintaining strict control over what is deployed into each environment. Ensure environments are protected from uncontrolled or unauthorised change. Bring changes through appropriate governance forums (e.g. TAB). Work closely with Engineering teams and the TIP Manager to coordinate deployments and cutovers. Build & Branch Governance (ART Gatekeeper) Own and manage internal build numbering and versioning standards. Assign internal build numbers in line with agreed conventions. Act as gatekeeper for all pull requests (BitBucket) into release branches, ensuring: Peer reviews are complete Static code analysis has been completed Items are in approved scope Commit messages meet standards Merge conflicts are resolved by Engineering Merge release branches back into the main branch (work with Engineers for conflict resolution) Verify Jira items are in the correct workflow states prior to merge. Conduct builds into environments and verify that the correct build is deployed. Release Notes & Jira Hygiene Author internal build notes (version / build notes). Author customer facing release notes. Ensure Jira hygiene prior to release cut: All issues correctly linked and in appropriate states All code merged into the release branch No outstanding review or readiness gaps Work with teams to resolve items still in peer review or non release ready states. Ensure Jira workflows are applied consistently across the ART. What does Leidos need from me? Essential: Proven experience performing RTE like responsibilities in large scale agile environment. Strong working knowledge of Jira, including workflow management and reporting. Understanding of Git / Bitbucket workflows and pull request governance. Understanding of Git / Bitbucket branching strategies Excellent organisational skills with the ability to manage complex, multi team delivery. Exceptional attention to detail work must pass review first time without obvious errors. Strong interpersonal and communication skills, comfortable engaging with engineers, PMs, and customers. Positive, delivery focused mindset with a bias toward flow and production delivery. Desirable: Experience operating within SAFe Agile Release Trains. Experience in regulated or controlled delivery environments. Familiarity with release governance, change control, and multi environment delivery. Familiarity (not deep hands on proficiency required) with: Cloud technologies & IaC Software development (Java) Databases Unix/Linux operational skills. What We Offer A pivotal Release Train Engineer role at the heart of project execution. Significant influence over delivery flow, quality, and outcomes. Exposure to large scale, complex programmes with real customer impact. Competitive salary, benefits, and flexible working arrangements. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing . We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. TPBN1_UKTJ

Senior Security Researcher - AI & Cybersecurity A fantastic opportunity for a Senior Security Researcher to join an innovative technology company working on a new project at the intersection of AI and cybersecurity. You will research emerging security threats affecting modern AI systems, investigate attacker techniques and work alongside highly skilled technical teams to help develop new security capabilities. Location: Cambridge, hybrid working with a minimum of 2 days per week in the office Salary: £50,000 - £70,000 per annum + excellent benefits Requirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subject Strong knowledge of cybersecurity and attacker techniques Good understanding of networking and network security Knowledge of generative AI and the emerging security threats affecting AI systems Experience researching or investigating security threats across areas such as networks, endpoints, cloud environments or containerised systems Good Linux knowledge and familiarity with security tools Cybersecurity, networking or Linux certifications, such as CCNA or Linux Essentials, would be beneficial Experience within a SOC or security operations environment would also be beneficial Strong analytical, problem-solving and communication skills Applicants from relevant academic research backgrounds are also encouraged to apply where they have strong practical cybersecurity knowledge Responsibilities for Senior Security Researcher - AI & Cybersecurity: Research emerging cybersecurity threats affecting AI technologies Investigate attacker techniques and potential vulnerabilities Conduct technical research and prototype new security ideas Work closely with engineering and AI specialists to translate research into practical security capabilities Analyse technical findings and provide clear recommendations Keep up to date with developments across cybersecurity and AI security What the role offers: Work at the cutting edge of AI and cybersecurity Research emerging security challenges within a rapidly developing technical field Work alongside highly skilled cybersecurity, AI and software engineering specialists Excellent benefits including private medical insurance covering family, pension, life insurance and enhanced family leave Applications: If you would like to apply for this unique Senior Security Researcher opportunity, please send your CV via the relevant links! Were committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Security Researcher / Cybersecurity Researcher / Security Researcher / AI Security Researcher / Threat Researcher / Security Engineer / Cyber Security Engineer / Security Analyst / SOC Analyst / Threat Intelligence Analyst / AI Security Engineer / Cybersecurity Specialist / Generative AI / Agentic AI / Network Security / Linux / Kubernetes / Cloud Security / Endpoint Security / Security Tools / Threat Intelligence / Prompt Injection / Adversarial AI / CCNA / Linux Essentials / SOC / Machine Learning / Artificial Intelligence / Computer Science / Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isnt of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. TPBN1_UKTJ

hackajob is partnering directly with Raytheon UK to hire for this role. Date Posted: 2026-06-24 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Onsite At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon UK have a full time, permanent opportunity for a Senior Software Engineer to join our team on our Manchester or Gloucester sites. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Responsibilities Design and build software using industry best practice Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with your project Contribute to continuous improvement within your team Collaborate with your peers on technical direction within your team Desired Skills and Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI / Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch / Opensearch Testing & Quality Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Delivery & Collaboration Experience working in an Agile delivery team Use of code repositories (e.g. GitLab); familiarity with branching strategies, pull requests and merge processes Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.] Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility. Requires advanced knowledge of work area typically obtained through advanced education combined with experience. May have practical knowledge of project management. Practical to substantial knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work. Typically requires: A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience Engineering/Other Technical Positions: Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms TPBN1_UKTJ

Senior Software Engineer Newcastle upon Tyne - Hybrid Up to £70,000 basic + benefits | Relocation package available The Role We're looking for a Senior Software Engineer to join our clients R&D function, reporting directly to the Head of R&D. In this role you'll design and govern the software architecture and CI/CD processes that their engineering team builds within. You'll take ownership of the architectural framework spanning robotics payloads, vehicle automation, computer vision, sensor integration, digital twins, and simulation - ensuring everything they build is scalable, maintainable, and defensible against safety-critical standards. You'll know how to let early-stage prototypes move fast on the right evidential path, without forcing full compliance before it's needed - while making sure the architecture is built to scale to full qualification when the time comes. What You'll Do Define and implement end-to-end software architecture and CI/CD pipelines for remote and autonomous systems Establish unit testing, verification, and validation processes, building the evidence base needed to meet defence safety-critical standards Integrate architecture across control systems, computer vision, sensor fusion, simulation, and digital twin platforms Support system integration, commissioning, and real-world field trials alongside global military end users What You'll Bring Essential: A strong track record in software architecture for safety-critical or compliance-driven systems Hands-on experience with C/C++ and Python in Linux real-time environments Confidence reading electrical schematics and working across the hardware/software boundary Experience implementing CI/CD pipelines for safety-critical software A degree in Software Engineering, Computer Science, or equivalent (2:1 minimum) Nice to Have: Familiarity with ROS/ROS2 Experience with machine learning, OpenCV, or CODESYS/PLC environments A background in automotive safety systems, defence, robotics, or autonomous vehicle development What's In It for You £70,000 basic salary 8% matched pension Free breakfast and lunch daily on-site 35-hour week: Tuesday-Thursday on-site, Monday/Friday from home, with an early finish on Fridays Up to £5,000 relocation allowance for the right candidate Apply today with an up-to-date CV. TPBN1_UKTJ

London (Hybrid - 3 days in office).I'm partnered with a fast-growing, VC-backed unicorn 🦄 transforming how people learn and develop skills through AI.This isn't just another AI role - you'll be turning cutting‑edge research into real‑world impact, working at the exciting intersection of educa

A fast-growing startup in Greater London seeks a Senior Machine Learning Engineer to establish the recommendations infrastructure from scratch.This role offers significant ownership, working closely with Data, Product, and Engineering teams to embed ML capabilities into the user experience.Ideal can

Faculty Science Limited is hiring a Machine Learning Engineer to bring production-grade ML into real-world client solutions.

Faculty Science Limited is seeking a Machine Learning Engineer to bring production-grade ML solutions to real-world client projects.

Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, lo

A Series A AI startup in London is seeking a Senior ML Engineer to lead the design and implementation of production ML systems that automate marketing operations for top brands.The ideal candidate will have 4-8 years of experience in machine learning, with strong Python skills and the ability to sol

International SOS in London (Chiswick) is seeking an experienced Senior Machine Learning Engineer to join our Product team.

Senior Machine Learning Engineer to join their Outfits Discovery team in Greater London.You will be responsible for enhancing machine learning systems that assist customers in discovering outfits tailored to their style.This role offers the chance to work within a collaborative, agile environment wh

Relation Therapeutics, a sector-defining TechBio company in London, seeks a Senior Machine Learning Research Engineer to build and scale generative and predictive models of cellular behaviour.You will bridge theory and implementation, designing, building, and scaling large neural network systems use