134 jobs found

Junior / Graduate Data Scientist Our client, a fast-growing and innovative organisation, is looking for a Junior / Graduate Data Scientist to join their expanding data function. This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test, and support production-ready models using modern cloud technologies. The Role You will work primarily with Python, SQL, and AWS (including Amazon SageMaker) to: Extract, transform, and analyse data from AWS data platforms Perform exploratory data analysis and communicate insights clearly Build and evaluate baseline machine learning models (classification & regression) Support model experimentation in Amazon SageMaker Unified Studio Contribute to model deployment, monitoring, and safe rollout practices Follow best practices in Git, code review, testing, and Agile delivery Support data governance, documentation, and privacy-by-design principles This role offers structured mentorship and exposure to data science beyond modelling including productionisation, compliance, and engineering collaboration. Essential Requirements Degree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, Physics, Engineering) or equivalent experience Early career stage (graduate, placement, bootcamp, or personal projects) Strong Python skills (pandas, scikit-learn) Solid SQL skills (joins, aggregations, relational data) Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics) Clear communication skills Strong learning mindset and interest in AWS/cloud technologies Comfortable working in a regulated environment Desirable Exposure to Amazon SageMaker Experience with Jupyter Notebooks Git and basic software engineering practices Data visualisation tools (e.g., Power BI) Financial services data exposure (risk, fraud, payments) What s on Offer Structured development and mentorship Hybrid working model Company pension days holiday + bank holidays Birthday leave, charity day, wellbeing day, wedding leave Interested? Please Click Apply Now! Junior / Graduate Data Scientist

Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Senior Data Engineer - Sponsorship Offered 65,000 - 72,000 + 20% Bonus + Excellent Benefits London 2-3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.

SENIOR DATA SCIENTIST LONDON- HYBRID UP TO £75,000 I'm currently working with a leading UK fintech that is looking to bring in a Senior Data Scientist to join their growing decision science team. You'll be responsible for developing and deploying models that support underwriting decisions, pricing strategies, and fraud detection, working closely with product, engineering, and risk teams to ensure models are robust, scalable, and delivering commercial value. THE ROLE Develop and enhance credit risk models, including scorecards and machine learning models for underwriting and portfolio management Build pricing models and optimisation strategies to support customer acquisition and portfolio profitability Design and improve fraud detection models to identify suspicious activity and reduce financial losses Work closely with product, risk, and engineering teams to deploy models into production Analyse large datasets to uncover insights that inform decisioning strategies Monitor model performance and drive continuous model improvements REQUIREMENTS Strong experience developing credit risk, fraud, or pricing models within financial services or fintech Strong programming experience in Python (pandas, scikit-learn, XGBoost etc.) Solid SQL skills and experience working with large datasets Good understanding of machine learning and statistical modelling techniques HOW TO APPLY Please send your application below or reach

Role Title: Senior Game Designer (Core Gameplay) Duration: 12 Months Location: London (Hybrid) Rate: £80-£100p/h via Umbrella Role Description We're looking for a product-minded game designer - someone who balances creativity with analytical thinking and loves tackling player and business problems through design, to help shape a beloved game that impacts millions of players every day in an industry leading and genre defining game. Your role As a Senior Game Designer in the Core Gameplay area of leading mobile game, you'll work within clear strategic and product frameworks to discover, frame and solve gameplay opportunities. You'll collaborate closely with Creative Directors, Product Managers, UX & UI, Artists, Engineers and Data Scientists to shape ideas, validate hypotheses and bring delightful yet purposeful gameplay experiences to life. This role is ideal for someone who blends creative design thinking with a strong product mindset: a designer who loves to experiment, analyze and refine within clear goals and constraints; who is as motivated by player delight as by data-driven insight. Key Responsibilities Frame and challenge problem and opportunity spaces by translating insights, hypotheses and data into compelling gameplay opportunities. Drive the discovery process for strategic bets related to player gameplay experience. Design solid and engaging game features that serve both player engagement and product strategy. Create, validate and operate levels to delight the players and contribute to the business goals. Provide clear, structured documentation that communicates design intent and system logic effectively. Operate effectively within constraints, designing impactful solutions inside established systems and priorities. Analyze performance of released features and use data and player feedback to iterate and improve. Collaborate across disciplines to explore, ideate and refine ideas grounded in player research and business strategy. Stay ahead of market trends in casual and F2P design, bringing new ideas and perspectives to the team. Contribute to the overall design craft, ensuring your features integrate smoothly into the wider ecosystem and by mentoring others. Skills Innovative: You can conceptualize, document and develop creative yet feasible gameplay solutions that improve the player experience. Product-minded: You see design as problem-solving. You understand how to balance creativity, player value and measurable impact. Analytical: You use research, data and insights to inform decisions, validate hypotheses and refine solutions. Collaborative: You thrive in multidisciplinary environments and can rally diverse teams around a shared area vision. Player-focused: You're eager to learn directly from player behaviour and feedback to identify what truly engages them. Comfortable with constraints: You view boundaries not as limitations but as design opportunities that sharpen creativity. Strong communicator: You can clearly articulate rationale, value and trade-offs to stakeholders at different levels. Growth mindset: You're constantly looking to improve, open to feedback, eager to learn new skills and driven to help others grow with you. Mentor: You're constantly looking to share knowledge and run initiatives to grow others. Bonus points Experience designing gameplay systems or mechanics for large-scale F2P games. Experience designing levels for large-scale puzzle games. Background or strong collaboration experience in product design or product management. Familiarity with live operations and iterative development cycles.

Analytics Platform Engineer (Python, Kubernetes) - Secure Gov - Cheltenham - (RL8096) Job Title - Analytics Platform Engineer (Principle & Senior) Location - Cheltenham Salary - Competitive Benefits - Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission-critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client - We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission-critical solutions. Operating at the forefront of data, cloud, and AI-driven innovation, they offer an environment where engineers can work on complex, high-impact challenges with real-world significance. The Candidate - This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data-driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role - We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high-impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full life cycle from development through to deployment and ongoing optimisation. This is a hands-on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms Contribute across the full software development life cycle Support cloud migration and data management initiatives Develop, test and deploy new platform capabilities Troubleshoot and enhance existing analytics services Provide hands-on support to Data Scientists and MLOps teams Tackle complex engineering challenges across a varied tech stack Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth Node.js or React To apply for this Analytics Platform Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.

Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent  Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist , you will play a pivotal role at the heart of this transformation – leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.  This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the role    As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. You will: Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities include:   Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.  About You    To be successful in this role, you will bring: Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self-service analytics Proven ability to translate business or research questions into data-driven insights Experience communicating complex technical concepts to non-technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following  desirable  criteria:  Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's  Offer of an Interview  commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk  website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits     We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including:  28 days annual leave plus bank holidays  Private medical and Permanent Health Insurance   Discretionary annual bonus   Group personal pension scheme  Life assurance up to 4 x annual salary   Green travel schemes   Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be  13   March 2026.   We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. As part of the application process, you can expect:   At application stage: four technical questions to answer when submitting your CV. Stage 1 : 30-minute screening call with the hiring manager. Stage 2 : 60-minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3 : 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed. Stage 4 : Leadership and cultural 45-minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.  Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.  Why join us   Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.  We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

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?

400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.

Senior Software Engineer (C++ / Windows Desktop) Warrington Full-Time 48,000- 52,000 + Bonus About The Company We're partnered with an organisation who design and manufacture high-performance systems used in cutting-edge scientific and industrial research. They are a medium-sized organisation with a collaborative, close-knit culture. The software team is small (currently four engineers), highly skilled and plays a central role in delivering mission-critical systems that scientists rely on every day. The Opportunity We are seeking a Senior Software Engineer with strong expertise in C++ Windows desktop development to take a leading role in their flagship scientific application. This is not a maintenance-only role. You will: Lead development of a Windows desktop application written in C++ Control and interface with highly specialised scientific instrumentation Develop features that enable scientists to configure experiments, acquire data and perform analysis Optimise performance, improve security, and resolve complex technical issues Help ensure compliance as we expand into new global markets You'll be stepping into a key position within the team. With upcoming succession planning over the next 12 months, this role offers the opportunity to take increasing technical ownership and leadership responsibility. What You'll Be Doing Design, develop and maintain Windows desktop applications in C++ Enhance GUI functionality and user experience (RAD Studio preferred; Visual Studio also considered) Collaborate closely with scientists and engineers to implement data acquisition and analysis features Troubleshoot software issues, including critical release fixes where sound technical judgement is essential Contribute to compliance, performance optimisation and security improvements Provide occasional technical support input where required Produce clear documentation to support long-term maintainability This is effectively a full-stack desktop role - spanning UI design, application logic and system-level integration. About the Team 4-person software team Embedded developers supporting hardware integration A collaborative engineering environment within a manufacturing setting Strong knowledge-sharing culture Opportunity to learn from senior team members ahead of planned retirement transitions You'll be someone the team can trust, particularly when making technical decisions during high-pressure release situations. Essential Skills & Experience Minimum 5 years' experience developing Windows desktop applications in C++ Strong experience in desktop GUI development Experience with RAD Studio (desirable) or Visual Studio Strong analytical and problem-solving skills Experience leading or taking ownership of software projects Excellent communication skills across technical and non-technical stakeholders Desirable Experience Scientific, research, or manufacturing environments Developing GUI applications for scientific users Data acquisition or statistical data analysis APIs and inter-process communication Exposure to vacuum systems or laboratory equipment Understanding of compliance requirements for regulated markets BSc (or higher) in Computer Science or related discipline Working Arrangements Full-time, permanent 36.5 hours per week Monday to Friday Early finish on Fridays Initially on-site (5 days per week) Potential for ad hoc flexibility after probation (by discussion) Salary & Benefits 48,000- 52,000 per annum (dependent on experience) Annual company performance bonus Christmas bonus Annual July salary review (consistently awarded over the past 10 years) 23 days annual leave + bank holidays (increasing up to 29 days + bank holidays) Private healthcare after two years' service Group Personal Pension Scheme Free on-site parking Professional development opportunities Interview Process Initial Zoom interview with Hiring Manager On-site technical interview with senior team members and Director Final commercial discussion Who This Role Suits This position is ideal for an experienced C++ desktop engineer who: Enjoys building robust, high-performance software Is confident taking technical ownership and leading projects Wants to work on meaningful scientific applications Values stability, long-term progression and technical depth over short-term churn If you're ready to play a key role in shaping mission-critical scientific software, we'd love to hear from you.

Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.

Lead Data Scientist Salary: 120K - 140K + Equity Location: London in office Data Idols are working with a rapidly scaling technology company which is redefining how large, highly regulated organisations produce, validate, and deliver client-facing work. They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. You will own the data stack end-to-end and work at the intersection of analytics, engineering, and applied machine learning. The Opportunity This is a high-impact, high-autonomy role where you will design, build, and scale the company's entire data capability from ingestion through to insight and prediction. You'll work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, and genuinely useful. You'll turn messy, fast-moving problems into automated, production-grade systems that inform product strategy, customer behaviour, and operational decisions. If you enjoy building from first principles, moving fast, and taking real ownership, this role offers an unusually broad scope and level of influence. Skills and experience Strong Python for pipelines and analysis Advanced SQL and hands-on dbt experience Experience building data platforms from scratch in a fast-growth environment Comfortable working with ambiguity, changing priorities, and tight timelines Confident using AI coding tools as part of your daily workflow Excellent communication skills If you are looking for a new challenge, then please submit your CV for initial screening and more details. Lead Data Scientist

Directorate: Strategy & Innovation Contract Type: 18 Months Fixed Term Contract Hours: 36 Salary: 62,766 - 69,984 Location: Colindale Closing Date: Midnight March 9th 2026 About Barnet Council Barnet is a borough with much to be proud of. Our excellent schools, vibrant town centers, vast green spaces and diverse communities all help make it a great place to live and work. As a council we want to build on these strengths as we move into the future. We are growing and developing as an organisation to meet the challenges facing our borough and we are committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do. About the role This is an exciting time to join Barnet as we grow our Digital, Data and Technology (DDaT) capabilities and accelerate our digital transformation journey. We're investing in smarter services, better use of data, modern technology, and you'll play a key part in shaping this future. We're looking for an exceptional Insight & Intelligence Manager to play a leading role in shaping how we use data, analytics and emerging technologies to improve outcomes for our residents. This is a key leadership role within our Insight & Intelligence Hub, responsible for driving data informed decision-making across the organisation, developing advanced analytical solutions, and guiding a talented team of analysts and data scientists. You'll blend technical excellence with strategic insight, helping Barnet unlock the full value of its data through innovative approaches, strong stakeholder relationships, and a commitment to building organisational data literacy. This is a hybrid role. You will be expected to attend monthly in-person team days in our Colindale office. We also come into the office to meet service stakeholders, work together on collaboration, discovery and user testing sessions and department days. Please click here to download the Job description for this role. You're an experienced analytics or data science professional with a track record of delivering high impact insight. You combine technical depth with the ability to translate complex concepts into actionable recommendations for senior leaders. You'll bring: - Expertise in advanced analytics, data science, machine learning and data engineering. - Experience designing secure, scalable data solutions using platforms such as Azure, Data Factory, Synapse, Databricks or Fabric. - Strong proficiency in Python, SQL and/or R, and confidence in developing data pipelines and operationalising models. - Excellent communication and stakeholder engagement skills, with the ability to influence decisions and tell compelling data stories. - Experience leading, coaching or developing analysts or data scientists. - A passion for driving data culture, improving data literacy, and championing ethical, secure use of data. In this role, you will: - Lead the design and delivery of sophisticated analytical, data science and AI projects. - Build, maintain and optimise data pipelines, analytical models and data architecture. - Develop and operationalise machine learning solutions, applying MLOps best practice. - Produce high-quality, accessible dashboards and tools using platforms such as Power BI. - Work closely with senior leaders to shape strategic insight, policy development and service transformation. - Champion best practice in data quality, governance, privacy and information security. - Develop and mentor a team of analysts and data scientists, supporting high performance and continuous learning. - Strengthen cross council collaboration, working with ICT, service leads, data engineers and external partners. - Support delivery of the Council's DDaT Strategies If you thrive in a collaborative environment, enjoy solving complex problems, and want to make a tangible difference to public services, we'd love to hear from you. What we offer - 31 days annual leave, plus public and bank holidays - Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents - Work-life balance options may include hybrid working, flexitime, job share, home working, part-time - A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more - Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership - Excellent training and development opportunities - Employee well- being training programs including confidential employee assistance How to apply Read the job description and person specification before clicking 'Apply' to commence the online application form. If you would like any further information about the role before applying, please contact James Rapkin, Head of Organisational Insight & Intelligence, Barnet Council is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff and volunteers to share this commitment. Barnet operates stringent safer recruitment procedures, this may include AI Detection Screening, Biometric ID/Right to Work Checks, Qualification and Registration Checks, Up to 6 years of Employment Data and Insights to Accelerate Screening (Konfir), Up to 5 years of Employment History References, DBS (Disclosure & Barring Service) Checks, Credit Checks and Social Media, Sanctions and Occupational Health Screening. To deliver Barnet Council's commitment to equality of opportunity in the provision of services, all staff are expected to promote equality in the workplace and in the services the Council delivers. As such we value diversity and welcome applications from all backgrounds. Barnet Council embraces all forms of flexible working (including part-time, compressed hours, and hybrid working) and is committed to offering employees a healthy work-life balance. Candidates are encouraged to talk about relevant requirements and preferences at interview. We can't promise to give you exactly what you want, but we do promise not to judge you for asking. Barnet Council is a Disability Confident Committed Employer. We welcome and encourage job applications of all abilities. If you require any reasonable adjustments in the application or interview, please contact the lead contact on this advert. We will make reasonable adjustments to make sure our disabled applicants and those with health conditions are supported throughout our recruitment process. We support the access to work scheme, further details are available at (url removed) All posts with the council are subject to a probationary period of six months, during which time you will be required to demonstrate to the council satisfaction your suitability for the position in which you will be employed. Due to the high number of applications that are received for some posts we may close vacancies before the stated closing date if sufficient number of applications are received. Therefore, please apply as soon as possible. Please ensure you regularly check the email account (including JUNK MAIL folders) that you use to submit your application, as any further communication regarding your application will be sent electronically. Should you not hear from us within four working weeks of the closing date for this post, then regretfully in this instance, you have not been shortlisted.

Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent 100k- 150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability. This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value. What You'll Be Doing Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business. Defining technical standards, best practices and governance for Data Science and MLOps. Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams. Building, mentoring and developing a high-performing Data Science team. Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control. Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment. Acting as a senior technical authority and thought leader in advanced analytics and AI. Championing innovation, experimentation and continuous improvement in AI and analytics delivery. Experience Required Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments. Strong Python and SQL skills, with experience developing production-grade analytical solutions. Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake). Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow). Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases). Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring). Experience leading, mentoring and developing technical teams. If you'd like to learn more, please contact Jacob Ferdinand at

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.

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.

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 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. • 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.

Senior AWS Data Engineer - London - £125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.