150 jobs found

An opportunity has arisen for a Senior Data Scientist to join a leading UK organisation undergoing a significant AI-led transformation. This role sits within a high-performing Data Science team focused on delivering advanced machine learning solutions that directly influence customer experience, product innovation and business strategy. This is a position for someone who wants to operate at the intersection of technical excellence, commercial impact and strategic delivery , working on complex, high-value AI initiatives. Key responsibilities Lead the end-to-end development of machine learning models, from concept through to production Design and deploy advanced solutions including recommender systems, generative AI and optimisation models Translate complex business challenges into scalable, data-driven solutions with measurable impact Own delivery of multiple strategic projects, managing priorities and stakeholders effectively Work closely with engineering teams to deploy models into production using modern MLOps practices Influence senior stakeholders, clearly communicating insights and driving adoption of AI solutions Contribute to the wider AI strategy, identifying new opportunities and driving innovation Mentor junior team members and support capability development across the function Ensure all solutions align with best practice in responsible AI, governance and risk management Key requirements Strong academic background in a quantitative or statistical discipline Extensive experience in data science, with a proven track record delivering business impact Advanced proficiency in Python and SQL Deep understanding of machine learning techniques including regression, classification and modern AI approaches Experience building and deploying production-grade models Strong stakeholder management skills, with the ability to engage both technical and non-technical audiences Experience leading projects and owning delivery across complex environments Desirable experience Exposure to generative AI, recommendation systems or reinforcement learning Experience working in regulated or customer-centric industries Familiarity with modern data platforms and MLOps tooling What's on offer Competitive base salary with performance-related bonus Strong pension contribution Comprehensive private healthcare and wellbeing benefits Flexible working environment Clear progression opportunities within a growing data and AI function This is a high-impact role within a business that is investing heavily in data and AI, offering the chance to shape how advanced analytics is applied at scale. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

The Opportunity 10 month contractThe department is modernising the technology foundations that power weather and climate services used across government, science and industry.We're looking for an experienced Product Manager to help shape and improve the internal platforms that our developers, scientists and service teams rely on every day.You'll join Platform Technology - a part of the organisation responsible for shared, cross-cutting capabilities such as developer tools, APIs, data pipelines and infrastructure services.Your job is to make these platforms reliable, discoverable and enabling: reducing delivery friction, improving user experience, and helping downstream service teams ship faster and more safely.What You'll Do:- Support the development of a business case to invest in service enhancements and engagements with third party suppliers- Own the roadmap and backlog for one or more shared technology platforms and deliver to the agreed product vision.- Work with engineers, architects and delivery teams to deliver incremental improvements that make platforms easier to use and maintain.- Understand internal users - from developers to operations staff - and translate their needs into clear priorities.- Investigate the development of measurable service outcomes (adoption, usability, performance) and use data to track progress.- Balance short-term reliability with long-term sustainability and compliance.- Facilitate collaboration across technical and non-technical stakeholders; communicate trade-offs transparently.- Champion product-led and user informed, iterative ways of working in a complex, legacy / brownfield environment.What We're Looking For:- Proven experience managing developer infrastructure products and associated cloud technologies e.g. AWS, Azure, shared services.- Successfully managed commercial services and bought in services- Ability to apply and adapt Agile and Lean practices in the context of an engineering focused team.- Strong understanding of user-centred product development, championing the use of user centered design even when the "users" are other engineers.- Skilled at prioritising by outcome - e.g. using impact vs. effort or cost-of-delay approaches.- Confident working with cross-disciplinary teams and senior technical stakeholders.- Comfortable operating in environments with legacy systems, competing priorities and incomplete information.- Excellent communicator, can translate complex technical issues into clear decisions and trade-offs.You'll Thrive Here If You - Care about helping others deliver value - "product thinking for platforms."- Believe in outcomes over output and in learning through iteration.- Value sustainability over speed, preferring well-designed, reliable systems to quick fixes.- Enjoy bringing structure and clarity to technically challenging, interdependent environments.- Are collaborative, pragmatic and curious - a steady hand in a complex system. Kellan Group (including all of our brands, Berkeley Scott, RK and Quantica) are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our websites

Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.

Lead Data Scientist (SC Cleared) Location: Remote-working - Occasional visits to London office Rate: £650.00pd (Inside IR35) Security Clearance: SC Cleared (or eligibility to obtain SC clearance) Our central government customer is looking for an exceptional Lead Data Scientist to guide data-driven initiatives and deliver impactful solutions to complex challenges. You will lead a team of talented professionals, collaborate with cross-functional stakeholders, and use advanced analytics to shape policies and improve public services. Your expertise will drive the integration of cutting-edge technologies, ensuring innovation at the forefront of government strategies. Key Responsibilities Provide technical leadership and mentoring to a team of data scientists and analysts. Define and implement data science strategies aligned with organizational objectives. Lead the development of machine learning models and advanced statistical techniques to support policy-making and operational efficiency. Collaborate with senior stakeholders to understand their goals and translate them into actionable data projects. Oversee the design, deployment, and management of data pipelines and big data platforms. Develop data governance frameworks, ensuring ethical and secure handling of sensitive information. Identify emerging technologies and methodologies to enhance the organization's data science capabilities. Present key findings and recommendations through concise, impactful reports and visualizations for executive-level decision-makers. Required Skills Extensive experience as a Data Scientist, with a proven track record in leadership roles. Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data technologies (eg, Hadoop, Spark, AWS). Exceptional problem-solving skills and ability to think strategically. Outstanding communication abilities to convey technical concepts to non-technical stakeholders. Experience in managing cross-departmental or large-scale projects. If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.

Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit

DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.

Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)

Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Job Title: Process Chemist Department: Production & Supply Location: Grangemouth Manufacturing Centre, Earl's Road, Grangemouth (STG) Positions Available: 2 Pay Rate: 17.62 - 24.04 per hour (dependent on seniority, skills, and experience) Overview We are seeking Process Chemists (Research Scientist 3 level) to support a special project within a manufacturing and process development environment. This role will focus on laboratory-based process development, optimisation, and technical problem-solving to support manufacturing operations and supply activities. Key Responsibilities Process Development & Optimisation Plan and execute laboratory work to develop, test, and optimise new and existing manufacturing processes. Ensure processes meet agreed technical, quality, and performance targets. Technical Expertise & Support Provide expert process chemistry input to Process Development, Supply Chain, and project teams. Support the preparation and execution of development plans and manufacturing trials. Problem Solving Proactively advise and support manufacturing and development teams in resolving process issues. Identify and implement opportunities for continuous improvement. Safety, Compliance & Quality Carry out all activities in strict compliance with site, company, and regulatory requirements. Promote and continuously improve safe working practices. Data Management & Reporting Ensure accurate storage and management of experimental and project data. Prepare clear, high-quality technical reports to document experimental work and outcomes. Skills & Experience Essential Significant experience in process development chemistry , including: Data analysis (statistics and experimental design) Scale-up activities Manufacturing support Strong hands-on laboratory and analytical experience. Excellent problem-solving skills with the ability to analyse complex technical challenges. Key Capabilities Strong verbal, written, and presentation skills, with the ability to communicate effectively to varied audiences. Ability to build strong internal networks and contribute positively within cross-functional teams. Strong physico-chemical understanding and ability to apply theory to practical process development, using specialist data analysis tools. Education Honours Degree (or equivalent) in Chemistry is essential. A PhD is advantageous. Several years' experience in a Process Chemistry role is expected Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Job Title: Cloud Digital Product Manager (SC CLEARED) Location: Exeter (hybrid - 3 days per week) Salary/Rate: (Apply online only) per day inside IR35 Start Date: May Job Type: Initial 10 month contract CANDIDATES MUST HOLD AN ACTIVE SC CLEARANCE Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Cloud Digital Product Manager to join their team in Exeter on a hybrid basis. Job Responsibilities/Objectives We're looking for an experienced Product Manager to help shape and improve the internal platforms that our developers, scientists and service teams rely on every day. You'll join Platform Technology - a part of the organisation responsible for shared, cross-cutting capabilities such as developer tools, APIs, data pipelines and infrastructure services. Your job is to make these platforms reliable, discoverable and enabling: reducing delivery friction, improving user experience, and helping downstream service teams ship faster and more safely. Support the development of a business case to invest in service enhancements and engagements with third party suppliers Own the roadmap and backlog for one or more shared technology platforms and deliver to the agreed product vision Work with engineers, architects and delivery teams to deliver incremental improvements that make platforms easier to use and maintain Understand internal users - from developers to operations staff - and translate their needs into clear priorities Investigate the development of measurable service outcomes (adoption, usability, performance) and use data to track progress Balance short-term reliability with long-term sustainability and compliance Facilitate collaboration across technical and non-technical stakeholders; communicate trade-offs transparently Champion product-led and user informed, iterative ways of working in a complex, legacy / brownfield environment Required Skills/Experience The ideal candidate will have the following: Proven experience managing developer infrastructure products and associated cloud technologies e.g. AWS, Azure, shared services Successfully managed commercial services and bought in services Ability to apply and adapt Agile and Lean practices in the context of an engineering focused team Strong understanding of user-centred product development, championing the use of user centered design even when the users are other engineers Skilled at prioritising by outcome - e.g. using impact vs. effort or cost-of-delay approaches Confident working with cross-disciplinary teams and senior technical stakeholders Comfortable operating in environments with legacy systems, competing priorities and incomplete information Excellent communicator, can translate complex technical issues into clear decisions and trade-offs You?ll Thrive Here If You? Care about helping others deliver value - "product thinking for platforms" Believe in outcomes over output and in learning through iteration Value sustainability over speed, preferring well-designed, reliable systems to quick fixes Enjoy bringing structure and clarity to technically challenging, interdependent environments Are collaborative, pragmatic and curious - a steady hand in a complex system Measures of Success (6-12 Months) Renewal of Cloud technology contracts and supporting services Clear, agreed roadmap for your platform area Well defined and prioritised backlog supporting the roadmap and operational needs Measurable improvement in adoption or usability for key internal users Positive feedback from engineering and architecture stakeholders Introduction of at least one lightweight product practice improving visibility, flow or learning If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

RSMB is seeking an experienced and highly capable Senior Full Stack Engineer to play a central role in the design, development, and evolution of our expanding product suite, including Barb Ads Hub, NMO XCM, and our Data Fusion platform. You will join the team based in London ( Hybrid 2 days per week in the office ) . You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £85,000 per annum, based on experience. RSMB is a leading company specialising in media measurement solutions. We work with a wide range of clients delivering both long-term contracts like Barb (UK TV audience measurement) and RAJAR (Radio audience measurement), and ad hoc projects. We are proud that we have been a Barb TV audience measurement contractor since 1989 and a RAJAR contractor since 2007. Our team of around 50 people are based in Central London, and we are currently operating hybrid working: splitting the week between home and office working. The Senior Full Stack Engineer role: This role sits within the Development team in the Technology department and is critical to delivering scalable, high-performance, data-driven products. You will work across the full stack, contributing to backend services, APIs, and frontend applications, while collaborating closely with data science, product, and external partners to deliver robust, user-focused solutions. RSMB has been a specialist in data science and audience measurement for almost 40 years, best known for developing industry-standard methodologies and measurement solutions. We are now building on that heritage through a growing suite of platforms designed to connect datasets, power advanced analytics, and deliver actionable insights across organisations. With around 50 staff and a hybrid setup in Central London, we combine deep technical expertise with a collaborative, product-focused mindset. Key responsibilities as our Senior Full Stack Engineer will include: Full Stack Development & System Design Designing and building scalable, maintainable, and high-performance applications across backend and frontend layers. Developing backend services using Python and SQL, with integration into Azure-based infrastructure and Snowflake data platforms. Building intuitive, performant front-end interfaces using React and modern JavaScript/TypeScript frameworks. Contributing to architecture decisions across multiple products, ensuring consistency, scalability, and long-term maintainability. Designing and developing APIs for internal and external consumption. Data Platform & Product Engineering Working on data-intensive products, including Data Fusion and analytics platforms, handling large-scale datasets and complex transformations. Collaborating with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. Working within agile development processes, contributing to sprint planning, estimation, and continuous improvement. Writing clean, well-tested, and maintainable code, with strong emphasis on automated testing and CI/CD practices. Contributing to engineering standards, code reviews, and best practices across the Development team. Cross-functional Collaboration Working closely with Product Managers, Data Scientists, QA, and Technical Leadership to deliver high-quality products. Collaborating with external partners, clients, and industry stakeholders where required. Translating complex data and technical requirements into scalable engineering solutions. AI-Enabled Development Practices Effectively integrating AI-assisted development tools (e.g., code generation, testing, debugging, documentation) into day-to-day workflows. Applying critical judgement to ensure correctness, security, and maintainability of AI-assisted outputs. Continuously evaluating emerging AI tools and practices to improve engineering efficiency and quality What we are looking for in our Senior Full Stack Engineer: Proven experience (typically 5 10+ years) in full stack software engineering, ideally within data heavy, analytics, or SaaS environments Strong backend development experience with Python and SQL (relational and/or analytical databases). Experience working with cloud platforms, particularly Azure. Experience working with modern data platforms such as Snowflake (or similar analytical warehouses). Experience with .NET is desirable. Strong frontend development experience using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and deploying data-driven products. Experience working in agile environments (Scrum/Kanban) with strong ownership of delivery. Strong problem-solving skills and ability to work with complex, data-rich systems. Excellent communication skills and ability to collaborate across technical and non-technical stakeholders. What you ll get in return as our Senior Full Stack Engineer: A central role in building industry-leading platforms such as Barb Ads Hub, NMO XCM, and Data Fusion. Opportunity to work on complex, high-impact data and analytics products used across the media ecosystem. Exposure to cutting-edge work in data integration, analytics, and measurement. Hybrid working model (2 days per week in our Central London office). A collaborative environment with strong engineering and data science expertise. 25 days holiday rising to 30, private medical insurance, pension, season ticket loan and more. Ready to help shape the next generation of RSMB s product portfolio? If you feel you have the skills and experience to become a Senior Full Stack Engineer in this exciting role, then please click apply now We'd love to hear from you! Please note that applicants must have the right to work in the UK. We are not accepting unsolicited agency applications for this role.

Product Manager - Platform Technology Employment Type: Contract Inside IR35 Duration: 10 Months Umbrella Rate: 550/day Location: Exeter (Hybrid, 3 days onsite per week) Clearance Level: Eligible for SC Opportunity Overview We are working with a leading UK organisation to find an experienced Product Manager for a key role within their Platform Technology function. Our client is undergoing a significant technology modernisation programme and needs a skilled product professional to help shape and improve the internal platforms their developers, scientists and service teams depend on every day. This is a rare opportunity to practise real product management in a complex, data-intensive environment - working at the heart of a mission-driven organisation where the work genuinely matters. About the Role The Platform Technology team is responsible for shared, cross-cutting capabilities including developer tools, APIs, data pipelines and infrastructure services. The incoming Product Manager will be responsible for making these platforms reliable, discoverable and enabling - reducing delivery friction, improving user experience, and helping downstream teams ship faster and more safely. Job Function Support the development of a business case to invest in service enhancements and engagements with third-party suppliers. Own the roadmap and backlog for one or more shared technology platforms and deliver to the agreed product vision. Work with engineers, architects and delivery teams to deliver incremental improvements that make platforms easier to use and maintain. Understand internal users, from developers to operations staff, and translate their needs into clear priorities. Investigate and develop measurable service outcomes (adoption, usability, performance) and use data to track progress. Balance short-term reliability with long-term sustainability and compliance. Facilitate collaboration across technical and non-technical stakeholders; communicate trade-offs transparently. Champion product-led, user-informed, iterative ways of working in a complex, legacy/brownfield environment. Requirements Proven experience managing developer infrastructure products and associated cloud technologies (e.g. AWS, Azure, shared services). Experience successfully managing commercial and bought-in services. Ability to apply and adapt Agile and Lean practices in an engineering-focused team. Strong understanding of user-centred product development - even when the 'users' are other engineers. Skilled at prioritising by outcome using approaches such as impact vs. effort or cost-of-delay. Confident working with cross-disciplinary teams and senior technical stakeholders. Comfortable operating in environments with legacy systems, competing priorities and incomplete information. Excellent communicator - able to translate complex technical issues into clear decisions and trade-offs. Why This Role? Our client operates at significant scale, managing vast volumes of data in support of critical national and scientific services. The technology estate is complex and established - this isn't a greenfield startup - but that's exactly what makes it interesting. You'll be joining at a moment of genuine appetite for change, working alongside engineers and scientists who are deeply invested in what they build. If you're looking for a role where platform product management actually means something, this is it.

Cure Talent are delighted to be partnered with an emerging wearable medical technology company at a defining stage of its growth. Developing next-generation physiological monitoring solutions, this organisation is advancing its data science and sensing capabilities to deliver medical-grade insights beyond the hospital environment. We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors. This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights. Key responsibilities Design and implement signal processing pipelines to analyse non-invasive physiological data Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics Analyse complex time-series data from wearable sensors, including noisy real-world signals Support experimental design and analyse data from internal testing and controlled clinical studies Collaborate with engineering, data science, and clinical teams to integrate algorithms into products Experience and skills required Strong experience in signal processing and analysis of time-series or physiological data Experience developing algorithms or models using MATLAB, Python, or similar high-level tools Understanding of techniques such as filtering, noise reduction, and feature extraction Experience working with non-invasive physiological signals (e.g. ECG, PPG, respiratory data) Ability to design experiments and work with real-world and clinical datasets Nice to have Experience working with wearable sensors or digital health technologies Exposure to machine learning techniques applied to signal or physiological data Understanding of cardiorespiratory physiology or haemodynamics Experience translating algorithms into production or embedded environments Familiarity with C/C++ or similar for deployment If you re a Data Scientist with strong signal processing experience and an interest in applying your work to real-world physiological challenges, we d love to hear from you.

Senior Data Engineer London (Hybrid Working) Full-time Permanent 80,000 - 90,000 (depending on experience) About the Company: Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system. You'll be part of a collaborative, inclusive team solving complex problems in a fast-paced, high-impact environment. About the Role: We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You'll focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You'll work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems. What You'll Do: Design and build scalable data services within a modern architecture. Develop ETL pipelines for efficient data ingestion and transformation. Enable advanced analytics and optimisation of energy assets. Apply DevOps best practices using Terraform and AWS. Maintain high standards of data quality and reliability. Collaborate across teams to deliver impactful solutions. Mentor team members and promote best practices. About You: Degree in Computer Science (or equivalent experience) Strong experience with data pipelines, storage, and platforms Advanced Python skills and production-level coding experience Experience building and deploying data services end-to-end Solid understanding of ETL and data engineering best practices Experience with SQL/NoSQL, APIs, and cloud platforms Familiarity with big data tools and MLOps concepts Strong communication, collaboration, and mentoring skills Main Tech Stack: Python AWS (S3, Athena), Terraform, Docker Prefect, Pulsar PostgreSQL, Cassandra GitLab CI/CD What's On Offer: 25 days holiday + bank holidays + festive closure Flexible, hybrid working Enhanced parental leave Annual salary reviews Learning & development budget + paid memberships Inclusive culture, employee networks, and regular socials Sound good to you? Send your CV to Lily at Viqu Energy today!

The Opportunity: You ll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Full Stack Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you ll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today s society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (e.g. Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.

Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Your new company Join a fast-growing software business headquartered in Guildford, specialising in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation. Your new role As Lead Data Scientist, you'll take ownership of a small but growing data team, currently consisting of two Analysts and one Data Scientist. Reporting directly to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals. What you'll need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists) Ability to implement and improve data science processes and workflows Excellent stakeholder management and communication skills Experience working in a fast-paced, agile tech environment Must be UK-based and eligible to work without sponsorship What you'll get in return Up to 110,000 base salary Performance and company-wide bonus Private healthcare Pension scheme Opportunity to shape a growing data function in a high-growth tech business Fully remote role with occasional visits to the Guildford HQ What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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)

Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.