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Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Expertise in recommendation systems Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit . To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job 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

Ready to take your manufacturing career to a world-class level? If you have a sharp eye for detail and a background in production, there's a place for you at our cutting-edge Witney facility. Join us in shaping the future of healthcare, where every device you build changes lives globally. Salary: £17.19 per hour (Nights) Location: Witney Shift Pattern: 4-on, 4-off (7 PM - 7 AM) As a Manufacturing Technician, you will master advanced automation in a role that perfectly balances technical challenges with an industry-leading work-life balance. Whether you're looking for a fresh challenge or a secure path with a global healthcare leader, we provide the comprehensive onboarding to get you there. The Perks: Work-life balance: Our 4-on, 4-off shift pattern gives you predictable, consistent time away from work. On-site parking: Dedicated free parking for all employees. Electric charging: Modern electric vehicle charging points available on-site. Subsidised canteen: Enjoy a range of hot and cold meals at a discounted price. Free Lavazza coffee: High-quality coffee machines to keep you energised throughout your shift. Career stability: Secure a long-term position with a premier global employer. Responsibilities: Master the machines: Set up, operate, and monitor sophisticated automated equipment, ensuring peak performance and smooth "line clearances." Digital integrity: Use specialised systems (MacPac/POMS) to meticulously track batch records and inventory-accuracy is our highest priority. First-line problem solving: Act as the first responder to technical hiccups, diagnosing minor issues and collaborating with Engineering for complex faults. Maintain excellence: Champion a clean, organised workspace using 6S principles and ensuring all quality, safety, and environmental (EHS) standards are met. Your Skills: Detail-obsessed: You enjoy following logical, sequential processes and understand that "doing it right the first time" is vital. Tech-savvy: You are comfortable navigating digital software and learning new interfaces for data entry. Problem solver: You don't just see a fault; you want to understand the why and find the fix. Reliable teammate: You communicate clearly and thrive in a collaborative, fast-paced environment. Experience Required: Previous experience in a manufacturing or production setting is essential. Experience in a regulated environment (e.g., Food, Pharma, or MedTech) is a bonus but not required. Why Apply? If you're looking for a role where you are the heartbeat of the production line and your work has a direct impact on patient health, this is it. You'll be supported by world-class training and a team that values your technical input. Ready to master the machines? Apply today!

Lecturer in Engineering / Land Based Service Engineering Salary From £31,236 per annum (unqualified) / £35,608 per annum (qualified) Salary To £34,610 per annum (unqualified) / £41,064 per annum (qualified) Permanent, Full time Writtle Ref No 3769 About ARU: ARU is a global university transforming lives through innovative, inclusive and entrepreneurial education and research. ARU holds a Gold award for the quality of its education, awarded through the Teaching Excellence Framework (TEF). ARU's research institutes and four faculties bridge scientific, technical and creative fields. We deliver impactful research which tackles pressing issues and makes a real difference to our communities. Our academic excellence has been recognised by the UK's Higher Education funding bodies, with 16 of our research areas assessed as world leading. We are the largest provider of Nursing, Midwifery, Health and Social Care students in the East of England, and we are also among the UK's leading universities for degree apprenticeship provision, working with hundreds of employers across the UK. At our ARU Writtle campus, we specialise in animal, environmental, agricultural and horticultural courses, for learners aged 16 to 18, adult learners, undergraduate and postgraduate levels. About the Role: Due to continued growth, the College is offering an exciting opportunity for an experienced College Lecturer in Land-based Service Engineering or an experienced Land-based Service Engineering /technician (Agricultural Service Engineer/technician), or an individual with related engineering machinery interests to join our expanding team delivering the Case New Holland (CNH) Level 2 and 3 Land Based Engineering Technician Apprenticeship Programme. In this role you will be working within our team of engineering lecturers to provide both practical and theoretical instruction in the workshops and classroom. The role provides a wide range of opportunities for either: The experienced college lecturer already delivering to Land based Engineering Students within a college who is looking for a change and opportunity to develop new learning. Or The experienced Land-based Service Engineering individual to pass on their knowledge and skills to the next generation of Land- based Service Engineers. Or The enthusiastic, capable but less experienced individual a chance to develop knowledge and skills backed by the world-famous Case New Holland (CNH) machinery manufacturer. In each case you must have a fundamental interest, background knowledge in agricultural and or other service engineering workshop activities i.e. vehicles, plant, horticultural machinery, welding and fabrication repairs. The Role: The individual will become part of the team and will support the delivery by: Developing their own specialist subject delivery for level 2 and level 3 apprentices in preparation for End Point Assessments. The preparation, delivery and supervision of "live work" student projects. These include tractor and machinery repairs, servicing work and overhauls. Work as part of the team with general workshop operations such as tool and equipment storage, maintenance and health and safety compliance in line with industry standards. Transporting apprentices (Minibus driving) and attending CNH technical training courses with the apprentices at various stages through the course. Be prepared to undertake technical, educational and personal development courses including the opportunity to develop teacher training courses. You will be involved in developing the programme, liaising with employers, partnering with the training centre at Basildon, and making site visits across the UK. The role will involve travel to employers' workshop to complete workplace reviews with apprentices in their workplace. Close collaboration with colleagues in the College Further Education teams will also be necessary. If you have an interest in servicing and repairing agricultural machinery, working with the latest high-tech equipment, if you enjoy working with young adults and are eager to learn new technical subjects and teaching methods, this is your opportunity! You'll hold as such as agricultural machinery, vehicles or plant machinery, horticultural machinery, and welding or fabrication repairs. You will hold GCSE English and Maths (or equivalent) at Level 2, along with a vocational qualification at NVQ Level 4 or equivalent. Ideally, you will also have an endorsed teaching qualification or be willing to commence teacher training within one year of employment. Who is CNH? CNH Industrial is a world-class equipment and services company. Driven by its purpose of Breaking New Ground, which centres on Innovation, Sustainability and Productivity, the Company provides the strategic direction, R&D capabilities, and investments that enable the success of its five core Brands: Case IH, New Holland Agriculture and STEYR, supplying 360 agriculture applications from machines to implements and the digital technologies that enhance them; and CASE and New Holland Construction Equipment delivering a full lineup of construction products that make the industry more productive. Across a history spanning over two centuries, CNH Industrial has always been a pioneer in its sectors and continues to passionately innovate and drive customer efficiency and success, driven by its purpose of Breaking New Ground. As a truly global company, CNH Industrial's. Candidates with the experience or relevant job titles of: Land Based Service Engineer/Technician, Senior Lecturer, Lecturer, Land-based Service Engineering Lecturer, Service Engineering Lecturer, Engineering Lecturer, HNC/D Lecturer, Lecturer, University Lecturer, Education Lead, Academic Lead, College Tutor, Tutor, Teacher, College Teacher will also be considered for this role. Informal enquiries can be made to Brian Cairns at Closing date: 5 August 2026. Find out more about working with us and how we recruit . We have an agile working culture and offer an extensive range of benefits including generous holiday entitlement, occupational pension schemes, training and development opportunities, travel to work scheme and a competitive relocation package. Visit our benefits page for full details. We are committed to safeguarding and promoting welfare of our staff and students and expect all staff and volunteers to share this commitment. Applicants should be aware that ARU will carry out online searches as part of the due diligence on short listed candidates. All appointments at ARU Writtle are subject to satisfactory pre-employment checks, including a satisfactory Enhanced criminal records with Children's Barred List check through the Disclosure and Barring Service (DBS). Further information can be obtained from . Shortlisted candidates will be required to disclose any prior disciplinary action or investigation related to sexual misconduct or abuse. This role is considered exempt from the Rehabilitation of Offenders Act 1974 and the amendments to the Exceptions Order 1975, 2013 and 2020. Further information about filtering offences can be found in the DBS filtering guide . We value diversity at ARU and welcome applications from all sections of the community. We have a responsibility to ensure that all employees are eligible to live and work in the UK and will conduct Right to Work checks in line with UKVI's Right to Work policy and our own institutional policy. Furthermore, we must note: Applicants applying from outside the UK: At this time, ARU is unable to sponsor applicants applying from overseas for a Worker Route visa. Applicants already in the UK: ARU is unable to offer Worker Route visa sponsorship to applicants whose salary does not meet our minimum sponsorship threshold, which aligns with roles at Grade 6 and above. Committed to being inclusive and open to discuss flexible working. We reserve the right to close this vacancy once we have received sufficient applications.

Do you have a background in manufacturing and a sharp eye for detail? This is your chance to step into a world-class medical manufacturing facility in Witney. We don't just make products; we create life-saving devices that change lives globally. Salary: £15.99 per hour Location : Witney Shift Pattern: 4-on, 4-off (7 AM - 7 PM) As a Manufacturing Technician, you will master advanced automation in a role that perfectly balances technical challenges with an industry-leading work-life balance. Whether you're looking for a fresh challenge or a secure path with a global healthcare leader, we provide the comprehensive onboarding to get you there. The Perks: Work-life balance: Our 4-on, 4-off shift pattern gives you predictable, consistent time away from work. On-site parking: Dedicated free parking for all employees. Electric charging: Modern electric vehicle charging points available on-site. Subsidised canteen: Enjoy a range of hot and cold meals at a discounted price. Free Lavazza coffee: High-quality coffee machines to keep you energised throughout your shift. Career stability: Secure a long-term position with a premier global employer. Responsibilities: Master the machines: Set up, operate, and monitor sophisticated automated equipment, ensuring peak performance and smooth "line clearances." Digital integrity: Use specialised systems (MacPac/POMS) to meticulously track batch records and inventory-accuracy is our highest priority. First-line problem solving: Act as the first responder to technical hiccups, diagnosing minor issues and collaborating with Engineering for complex faults. Maintain excellence: Champion a clean, organised workspace using 6S principles and ensuring all quality, safety, and environmental (EHS) standards are met. Your Skills: Detail-obsessed: You enjoy following logical, sequential processes and understand that "doing it right the first time" is vital. Tech-savvy: You are comfortable navigating digital software and learning new interfaces for data entry. Problem solver: You don't just see a fault; you want to understand the why and find the fix. Reliable teammate: You communicate clearly and thrive in a collaborative, fast-paced environment. Experience Required: Previous experience in a manufacturing or production setting is essential. Experience in a regulated environment (e.g., Food, Pharma, or MedTech) is a bonus but not required. Why Apply? If you're looking for a role where you are the heartbeat of the production line and your work has a direct impact on patient health, this is it. You'll be supported by world-class training and a team that values your technical input. Ready to master the machines? Apply today!

hackajob is collaborating with Lendable to connect them with exceptional professionals 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 The Role We're building our second charge mortgage product from the ground up. We're looking for a Credit & Commercial Manager to own credit strategy for this product - someone who understands the mechanics of secured lending end-to-end, from quote through to completion. This is a foundational hire. You'll shape how we assess risk, price loans, and structure our credit policy, working closely with a small, senior cross-functional team spanning product, engineering, legal, and commercial. If you've spent years working in secured lending and want to help build something new rather than maintain something old, this is the role. What You'll Do Define credit policy and underwriting strategy for second charge mortgages, including affordability, eligibility, and decisioning frameworks Own risk scoring and pricing - develop and refine scorecards, risk segmentation, and pricing models that balance volume with portfolio quality Drive growth whilst balancing risk - use analytic and credit judgment to drive growth through credit policy, work with the commercial team team to hit volume targets, and all whilst maintaining portfolio quality Own the IRR/NPV/cashflow models - ensure we understand the economics of the asset we're booking, and drive changes where needed Design automated decisioning logic - translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the market Help shape funding strategy - collaborate with the Capital Markets team to inform investor parameters around LTV limits, property valuations, and portfolio concentration, translating these into practical credit policy Inform the property valuation and security process - ensure credit policy accounts for valuation methodology, panel management considerations, and charge registration requirements Monitor portfolio performance - track early indicators, refine strategy based on outcomes, and report to senior stakeholders Collaborate cross-functionally - work daily with product and engineering to embed credit decisioning into the platform, and with legal and compliance to ensure regulatory alignment (MCOB, Consumer Duty) Get stuck in - this is a small team building something from scratch. You'll be hands-on across the full credit lifecycle, not managing from a distance What We're Looking For Deep experience in secured lending credit risk - you've worked on second charge mortgages or similar secured products (bridging, BTL, specialist residential) and understand the product inside out Strong knowledge of risk scoring and pricing - you've built or materially contributed to scorecards, pricing frameworks, or credit policy in a secured lending environment Understanding of funding and capital constraints - you know how LTV covenants, property valuations, and investor criteria shape what you can lend and to whom Commercial awareness and growth mindset - you understand that credit policy exists to enable lending, not prevent it. You think about accept rates, broker conversion, and competitive positioning alongside risk metrics Familiarity with the end-to-end secured lending process - from quote through to completion, including how valuation, legal, and land registry processes interact with credit decisions Analytical rigour - you're comfortable with data. SQL is required and Python experience is a plus, but what matters is that you think in numbers and can interrogate MI to drive decisions that lead to more good quality lending Regulatory awareness - working knowledge of MCOB and FCA requirements for second charge lending Experience designing for scale and automation - you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case review Nice to Have Experience with loan servicing - settlements, collections, arrears management, and recoveries in a secured lending context Exposure to broker distribution models and how credit policy interacts with intermediary channels Experience working in a startup or scale-up environment, or a desire to move from a large organisation into one Experience with decisioning platforms or rules engines 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!

hackajob is collaborating with Lendable to connect them with exceptional professionals 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 We're looking for a Product Manager to help shape and grow the UK Cards product. This is not a traditional PM role focused on roadmap management, stakeholder coordination or writing tickets. We are looking for someone who thinks like an owner and operates like a builder. You should be someone who naturally questions how things work, challenges assumptions and looks for practical ways to improve the product. You will work closely with engineering, operations, data, finance and commercial teams to identify problems, validate opportunities and drive execution across the Cards business. The role combines product thinking, experimentation, problem solving and AI tooling. If you are excited by fintech, lending and building products in a fast moving environment, this role offers significant ownership and impact. What you'll be doing This role will cover a broad range of work across the UK Cards product. Driving product and growth initiatives You will identify opportunities to improve customer experience, engagement, conversion and business performance. Examples include: Designing and running experiments across acquisition, onboarding, engagement and retention Improving customer journeys, product features and servicing experiences Using data and customer insights to prioritise product opportunities Defining MVPs and validating ideas before committing engineering resources Working closely with engineering teams to deliver high impact improvements Building operational leverage and AI-enabled workflows We want someone who actively looks for smarter and more scalable ways to work. Examples include: Improving internal tooling and operational workflows Driving adoption of AI tools across the team (Claude, Cursor and other emerging tooling) Supporting development of AI-powered customer support and servicing Automating manual operational processes where possible Helping teams make faster and better decisions through better workflows Owning cross functional problem solving The role requires operating across product, operations, finance, capital markets and customer servicing. Examples include: Identifying operational bottlenecks and driving improvements Coordinating complex initiatives across multiple teams Translating ambiguous business problems into impactful plans Balancing customer outcomes with commercial and operational constraints A core part of the role is continuously challenging how things are done today and helping the organisation operate in simpler, faster and more effective ways. Who this role is for This role is designed for someone who wants significant ownership and enjoys solving hard problems in fast moving environments. Typical profile 4+ years of experience in product, strategy, consulting, analytics or startup environments Experience owning products or growth initiatives Strong interest in fintech, lending and technology Comfortable working across both strategy and execution Curious about AI and how new tools can improve product development Interested in building and scaling products with real business impact You should be someone who Thinks from first principles rather than accepting how things currently work Challenges assumptions and asks high quality questions Enjoys solving ambiguous and messy problems Uses data confidently to make decisions Moves quickly and tests ideas pragmatically Is highly ownership and execution focused Can operate independently with broad direction Communicates clearly across technical and non technical teams Is comfortable switching between product, operational and commercial contexts Why this role is interesting You will get exposure to: How consumer lending and credit cards work in practice Building and scaling one of the UK's most successful fintech products Product-led growth and experimentation AI tooling and automation inside a real product organisation The operational and commercial side of running a fintech business Cross functional decision making across product, finance, operations and risk You will work closely with senior members of the Cards team and have the opportunity to own meaningful, business critical initiatives with significant autonomy. 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!

IT Senior Service Manager Position: Senior Service Manager Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible, as a team, for the delivery of our support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Service Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion our commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS 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. 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, software development 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.

Working with a global financial services organisation who are looking for a highly specialised Frontier AI Security contractor to help deliver a high-profile project. Details Location - London Hybrid - 3 days / week in office Duration - Initially 6 months Rate - 900- 1000 / day Inside IR35 via Umbrella Skills and Experience Required Very senior, hands-on technical specialist Deep security engineering; hands-on frontier LLM work (evals, agentic loops, failure modes); shipped production systems; product instinct; senior leadership. Core Competencies: Strong AI, cybersecurity , and software engineering experience. Experience with LLM s and frontier AI models rather than traditional machine learning alone. Deep technical expertise and ability to actively contribute to engineering work. Exploit development/offensive security experience. Experience helping organisations strengthen cybersecurity defences . Startup/founder backgrounds are welcomed; industry background is flexible. If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. As a Lead AI Engineer within the Workday Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site. Your Role As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge-based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities: Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. Develop and test edge-AI solutions that enhance passenger experience and advance internal R&T workflows. Lead proof-of-concept trials and demonstrate the value of AI for real Safran products. Drive projects through our Technology Readiness Level process, ensuring compliance and maturity. Share AI knowledge across teams; be an in-house AI ambassador! Manage external collaborations with universities and technology partners. Maintain up-to-date project plans, budgets, and technical records. Represent Safran at industry conferences and technology events. What You'll Bring Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential) Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.

Head of R&D - Sensing Science Location: Dagenham, Essex (2-3 days onsite) Salary: 80,000- 90,000 + benefits Type: Permanent An innovative, venture-backed technology company developing next-generation intelligence and sensing systems is seeking a Head of R&D to lead its sensing strategy and scientific function. Having recently secured oversubscribed seed funding and with commercial products already in market, the business is scaling rapidly across applications including pest control, agriculture, animal health, environmental monitoring and future public health solutions. The Opportunity This is a senior technical leadership role for an expert in sensing technologies who can bridge the gap between scientific research, product development and data-driven decision making. You'll work closely with engineering, firmware, software and data science teams to define how sensors are selected, tested, integrated and optimised within commercial products. Key Responsibilities Lead the company's sensing science and R&D strategy Manage and mentor multidisciplinary scientific teams Define experimental design and testing methodologies Guide sensor selection and performance evaluation Collaborate with engineering teams on sensor integration Work with data scientists to improve sensor interpretation and ML models Support the development of new sensing products and applications Influence future technical direction and team growth About You We're looking for a scientifically credible leader with deep expertise in sensing technologies and experience translating research into real-world products. Relevant backgrounds may include: Gas, chemical or VOC sensing Sensor fusion and embedded sensing systems Analytical chemistry or chemical ecology Machine learning for sensor systems Scientific R&D leadership Experience working with multidisciplinary engineering teams and commercialising sensing technologies is highly desirable. The company is open to candidates from industry, research organisations or academia who combine scientific depth with practical product thinking. Why Join? Shape a unique sensing and AI technology platform Work on cutting-edge sensor and machine learning applications Join a well-funded business with commercial traction Influence company strategy and future product development Contribute to technologies with significant long-term impact across multiple industries

Staff Data Engineer / Leeds or London 1x a month / 120k - 140k Shape the Future of Data Engineering Within a Leading SaaS Product Business This is an opportunity to step into one of the most influential technical roles within a high-growth SaaS organisation where engineering plays a central role in shaping the future of the product. Rather than focusing solely on building data pipelines, you'll provide technical leadership across the engineering function, helping define the architectural direction of the company's data platform while influencing how engineering teams solve complex customer and business problems. You'll work at the intersection of Engineering and Product, translating evolving commercial priorities into scalable technical solutions that enable faster delivery, improve customer outcomes and support the continued growth of the platform. If you're looking for a role where you can influence architecture, mentor senior engineers and help shape the technical strategy of a modern SaaS business, this is an outstanding opportunity. The Role Working as a Staff Engineer, you'll become one of the senior technical leaders within the engineering organisation, partnering closely with Product Managers, Engineering Managers and fellow Staff Engineers to guide architectural decisions across multiple teams. This is a role centred around technical leadership rather than people management. You'll provide direction through influence, helping teams navigate complex technical challenges, balancing long-term architectural thinking with the pace required to deliver customer value. You'll be expected to take ambiguous commercial or product requirements and transform them into clear, pragmatic technical solutions that support both immediate delivery and long-term platform evolution. This is far more than a traditional data engineering position. Success will come from the quality of your technical judgement, your ability to influence engineering across the business and your understanding of how technology decisions impact customers, product delivery and commercial success. What You'll Be Doing Shape the technical strategy and architecture of the organisation's data platform. Lead architectural discussions across multiple engineering teams. Translate evolving product and commercial requirements into scalable technical solutions. Partner closely with Product to ensure engineering decisions support customer outcomes and business priorities. Mentor engineers and help raise technical standards across the organisation. Provide technical leadership without relying on formal management responsibility. Balance long-term architectural improvements with the pace of product delivery. Drive engineering best practice, technical consistency and architectural governance. Influence technology decisions across multiple teams while supporting a collaborative engineering culture. Help solve company-scale engineering challenges within a fast-moving SaaS environment. Essential Experience We're looking for someone who can demonstrate experience across: Operating as a Staff Engineer, Principal Engineer or equivalent senior individual contributor within a modern SaaS product business. Defining technical architecture that supports both immediate product delivery and long-term platform evolution. Translating ambiguous commercial or product requirements into pragmatic technical solutions. Balancing technology decisions with people, engineering capability and commercial priorities rather than focusing solely on technical excellence. Working closely with Product teams to shape delivery, influence roadmaps and ensure engineering decisions create measurable customer value. Considering architecture beyond the codebase, including product delivery, customer release planning and go-to-market implications where appropriate. Influencing technical direction across multiple engineering teams without relying on formal line management. Making pragmatic architectural decisions in fast-paced environments where priorities change regularly. Demonstrating broad experience across multiple data disciplines, with an understanding of how data engineering, analytics, platforms and product engineering work together. Building strong relationships across Engineering, Product and other business functions to deliver successful outcomes. Desirable Experience Exposure to any of the following would be advantageous: Event-driven architectures. Data platform strategy and modern data ecosystems. Machine Learning or AI-enabled products. Platform Engineering principles. Mentoring senior engineers and developing technical capability across engineering teams. Large-scale SaaS product environments serving significant customer bases. About You You're someone who understands that great engineering isn't just about building excellent technology solutions - it's about making technical decisions that enable people, support product delivery and deliver meaningful commercial outcomes. You thrive in environments where requirements aren't always fully defined, bringing clarity to ambiguity and translating business challenges into pragmatic, scalable solutions that balance architectural quality with delivery pace. You're comfortable making difficult trade-offs, challenging ideas constructively and influencing through technical credibility rather than authority, working closely with Engineering and Product to ensure technology decisions create lasting value for both customers and the business. Most importantly, you'll enjoy operating in a fast-moving, product-led environment where engineering has genuine influence over product strategy, customer outcomes and commercial success. Why Apply? This is a genuinely rare opportunity to operate as a true Staff Engineer within a successful and growing SaaS business. You'll have the chance to: Shape the long-term technical direction of a modern SaaS data platform. Influence architecture across multiple engineering teams. Partner closely with Product to solve real customer problems. Work on company-scale engineering challenges in a fast-moving product environment. Mentor experienced engineers and raise technical capability across the organisation. Join a collaborative engineering culture where technical leadership is genuinely valued. Balance hands-on technical depth with strategic architectural influence. Play a key role in the continued evolution of a platform used by thousands of customers. If you're looking for a position where your technical leadership, architectural thinking and commercial mindset will have a lasting impact on a growing SaaS business, we'd love to hear from you. Please apply with a copy of your CV by Friday 31st July to Dominic Brown at Staff Data Engineer / Leeds or London 1x a month / 120k - 140k

Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites

Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.

Head of Technical Up to 120k Southampton Hybrid- 3 or 4 days on site Benefits: 25 days holiday increasing up to 30 Flexible working 16 full weeks of maternity 5% matched pension Annual bonuses I am working with a well-respected UK client looking for someone to lead their technical team and provide strategic insight into the team. They are looking for someone to provide strategic technical leadership for secure defense applications and maintain the technical architecture and roadmap for the software house. You should be someone who has a good approach to modern engineering and emerging technologies. Day-to-day responsibilities: Working alongside the head of delivery to ensure technical decisions and strategies are in line with the defense applications. Working with the company to ensure the delivery of the applications is efficient Key stakeholder engagement Drive modern engineering practice Exposure to AI, Data platforms and machine learning Reduce strategic dependency Translate business needs into coherent technical strategy. Requirements: Knowledge of Cloud, APIs, CI/CD, Automation and Platform engineering Experience building and assessing technology investments Managing technical risk, scalability and security Stakeholder engagement experience Ability to govern architecture and engineering practices Government or highly regulated environment industry experience Exposure to data platforms and machine learning This is an urgent vacancy, so if you would like to be considered then please apply quoting reference AR(phone number removed). Director, DevSecOps, platform engineering, machine learning, cloud, APIs, stakeholder engagement, data, AI, CI/CD, AWS, Azure, regulated, Director, DevSecOps, platform engineering, machine learning, cloud, APIs, stakeholder engagement, data, AI, CI/CD, AWS, Azure, regulated, Director, DevSecOps, platform engineering, machine learning, cloud, APIs, stakeholder engagement, data, AI, CI/CD, AWS, Azure, regulated, Director, DevSecOps, platform engineering, machine learning, cloud, APIs, stakeholder engagement, data, AI, CI/CD, AWS, Azure, regulated, Director, DevSecOps, platform engineering, machine learning, cloud, APIs, stakeholder engagement, data, AI, CI/CD, AWS, Azure, regulated Director DevSecOps platform engineering machine learning cloud APIs stakeholder engagement data AI CI/CD AWS Azure regulated If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

IT Service Manager The Role This is an opportunity for you to join us as a Service Manager, becoming part of an established service management team responsible for the day-to-day operation of our business-as-usual support services. This role includes line management responsibilities, supporting and developing a team of Support Desk Engineers to ensure daily operations run effectively and smoothly. As a Service Manager, you will be helping maintain our key performance indicators, service levels, and promote excellent customer service. You will produce and analyse customer reports, ensuring data is clear and serve as an escalation point for internal and external stakeholders. You will be analysing service metrics contributing to the problem management process, identifying trends, anomalies, and opportunities for service improvement. Additionally, managing high severity and major incident tickets, ensuring continued alignment with existing processes. This role is subject to a standard DBS check. About You: You will have experience and knowledge of utilising ITIL best practice. You will have strong interpersonal abilities, with confidence to build and maintain effective working relationships with stakeholders at all levels. You are highly organised and able to prioritise your workload, balancing multiple demands whilst maintaining service quality. You will have proven experience in managing SLA s and KPI s to ensure consistent, high quality service delivery. Additionally, you will have the willingness to continue learning and developing to succeed in this role. About Us 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. As part of our team, you ll enjoy: Salary of £30,000 to £33,000 per annum. Company Profit Share (first £3,600 is tax free (eligibility criteria apply . Holiday of 22 days per annum (increasing with length of service). In addition, 8 bank holidays. Birthday as additional paid leave (eligibility criteria apply). Ongoing training and support. Private Medical Insurance (including dental cashback) following successful completion of probation. Hybrid working (following successful completion of probation). Fresh fruit, the occasional pizza and a posh coffee machine! To Know Before Applying Regretfully, Trusted Technology Partnership is NOT a sponsoring organisation and is, therefore, not able to sponsor you for a visa if you require one (such as Tier 2) to work in the UK.

Job Title: Full-Stack Software Developer Location: Worcester Salary: From £38,000, depending on experience Part-Time and Full-Time hours would be considered; Office-based role. Agile working may be considered following successful induction. Candidates must have the right to work in the UK sponsorship is not available. About Our Client Our client is an award-winning company providing managed IT and telecommunication services to organisations across a range of industry sectors. Since launching in 2002, they have grown year on year, expanding their products and services as technology has developed, helping organisations improve their business practices and profitability. About the Role Our client is looking for a highly motivated Front-End UI / Full-Stack Software Developer who is keen to learn, apply new technologies and develop creative solutions for their customers. The role will focus primarily on developing modern web application front ends however, the successful candidate will also be expected to contribute across the full technology stack, including back-end services, secure client-server communication and database development. This is an exciting opportunity to become a core member of a growing development team working within the Internet of Things (IoT) technology space. You will work alongside team members specialising in back-end systems while taking ownership of your own development tasks. The successful candidate must be comfortable working independently and as part of a collaborative team. Training and domain knowledge will be provided, together with technical guidance from the Software Development Lead. Personal and technical development is actively encouraged. Responsibilities: Collaborate with coworkers to conceptualise, develop, and release software. Design, develop and maintain modern, responsive web application interfaces. Contribute to the development and maintenance of application back ends and RESTful APIs. Design, develop and maintain relational database schemas. Implement secure communication between application clients and servers. Work with end-users, developers and engineers to identify and define application requirements. Test software and contribute to the development of automated tests. Investigate software defects and develop effective solutions. Report development progress, risks and technical issues. Conduct quality assurance to ensure that the software meets prescribed guidelines Create and maintain product and technical documentation. Share knowledge and promote good development practices across the team and wider company. Rolling out fixes and upgrades to software, as needed. Securing software to prevent security breaches and other vulnerabilities. Reviewing customer feedback to enhance user experience. Suggesting alterations to workflow to improve efficiency and success. Pitching ideas for projects based on gaps in the market and technological advancements. What Are They Looking For: Full-stack development experience, including user interface design, secure client-server communication and database access. NET Core, ASP.NET Web API, Microsoft Azure and SQL experience. Proven experience developing modern, responsive web application front ends using a mainstream web framework. Proficiency in HTML5, CSS3 and JavaScript. Experience with a modern front-end framework such as React, Angular or Vue.js. Ability to understand, develop and maintain RESTful web APIs, including their security requirements. Experience designing and managing relational database schemas. Familiarity with Git source control and collaborative software development workflows. A strong aptitude for learning new technologies and working outside your existing areas of experience. Good independent problem-solving skills. Ability to use initiative and take ownership of assigned work. Good written and verbal communication skills. Ability to work effectively both independently and as part of a team. Desirable Skills and Experience: Proficiency in a server-side language or framework such as .NET, Node.js, Python. Working knowledge of SQL databases such as SQL Server, MySQL or PostgreSQL. Familiarity with cloud platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Benefits: Competitive salary from 38k per annum based on your previous experience. Market-leading, company-funded training courses and certifications. Career progression opportunities. 25 days holiday plus bank holidays. Optional two further paid days leave working in your nominated charity of choice. Pension scheme. Free on-site parking. Engaging optional social events. Modern office environment that promotes enjoyment and productivity. A collaborative, team-oriented culture where everyone strives for excellence.