206 jobs found

Senior Data Scientist / Product Analyst II - Engineering Platform Location: London, UK (Hybrid) The Mission Behind every global streaming giant is a massive engine of internal tools and infrastructure. We are looking for a data expert to join our Platform Insights team. Your "customers" aren't the end listeners-they are the hundreds of world-class engineers building the applications used by millions. Your goal is to optimize the developer experience, ensuring our internal systems are fast, stable, and scalable. What You'll Do Drive Product Strategy: Partner with Product Managers and Engineers to define what "success" looks like for internal developer tools and cloud infrastructure. Full-Stack Analytics: Define key metrics, build robust datasets, and create high-impact dashboards (SQL/Python). Exploratory Research: Deep-dive into technical logs and user behavior to identify friction in the software development lifecycle. Influence Change: Communicate technical insights to senior stakeholders to prioritize high-value infrastructure investments. Who You Are The Technical Analyst: You have 5+ years of experience in a quantitative role, with mastery of SQL and Python/R . Domain Enthusiast: You have a genuine interest in how software is built-familiarity with CI/CD, Cloud Infrastructure (GCP/AWS), or Software Architecture is a major plus. Bridge Builder: You can translate "complex system data" into clear, actionable business recommendations. Quantitative Background: Degree in Computer Science, Stats, Math, Economics, or a related field. Why This Role? This isn't a standard marketing analytics role. You will be at the heart of technical innovation, helping one of the world's most admired tech companies scale to a billion users by empowering the people who build it. Please apply here or share your updated CV to (url removed) Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Role: Data Scientist Type: Contracts (6 Months) Location: London, UK (REMOTE) Working Model: Fully Remote Payrate: (Apply online only) GBP/day on PAYE (Apply online only) GBP/day on RUPAYE (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models, and mentor junior team members. What You Bring: 5+ years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse , and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity . This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Web Scrapping Engineer - Permanent - Remote Overview As a Senior Python Scraping Engineer, you will design, build, and operate large-scale, resilient web scraping systems, with a strong focus on Google and Google-like search environments. This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale. You will tackle complex scraping challenges where naïve approaches fail-such as dynamic rendering, anti-bot defences, frequent markup changes, and high-volume data collection. This position is ideal for someone excited about modern development practices, including AI-assisted and agentic coding, and who wants to deepen their expertise in this evolving space. Responsibilities Design and maintain large-scale Python scraping systems that operate reliably against highly protected websites Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability Implement Proxy, fingerprinting, and request-routing strategies to maximise stability and throughput Monitor scraping health, detect failures early, and debug production issues efficiently Optimise performance, cost, and latency across scraping infrastructure Collaborate with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted Document scraping logic and maintain operational runbooks for long-term sustainability Required Experience Strong professional experience with Python, including building production-grade scraping systems Deep hands-on experience scraping Google or similarly protected platforms Solid understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour Experience with browser automation tools such as Playwright, Selenium, Puppeteer, or equivalents Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems Comfort working with asynchronous and concurrent scraping architectures Experience operating scrapers at scale in cloud environments Strong debugging skills and the ability to reason through complex failure scenarios Experience with headless browser fingerprinting and anti-bot evasion techniques Nice to Have Familiarity with containerisation and orchestration tools such as Docker and Kubernetes Experience with distributed task systems and job queues Background in data quality monitoring and anomaly detection Experience working with search, advertising, or competitive intelligence datasets To apply for this role please submit your CV or contact Dillon Blackburn (see below) 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.

Purpose of the role To support the design, prototype and delivery of innovative, data-led products by combining market insight, advanced analytics and modern data platforms. Working in closely with Product Managers and Data Analysts, this role will convert data assets and models into scalable, commercially viable analytical insights, data visualisations and product features. The Product Innovation Analyst bridges commercial opportunity and technical feasibility, ensuring new products are designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer Intelligence Platform to unlock new product capabilities Drive product innovation from concept to launch, translating business and customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration with the Product Team Define and monitor technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs to optimise product performance Product Innovation & Technical Design responsibilities: Identify new product opportunities enabled by advanced analytics, machine learning and large-scale data processing Identify new usage of existing attributes and products to create more value in existing data Translate business and customer needs into technical product requirements Support rapid prototyping and proof-of-concept development using Databricks notebooks and analytics outputs Define product-level data structures, feature sets, scoring outputs and delivery formats in collaboration with the Product Team Product Launch & Performance responsibilities: Define technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs Support internal enablement by translating technical product detail into usable sales and client-facing materials Drive continuous optimisation using usage analytics, customer feedback and platform performance insights What success looks like in the role Clear, concise and insightful data analytics which enable sound business decisions based on fact Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client, sector, internal product need Cross functional collaboration to enable continued improvement of Sagacity's Product Suite through the delivery of robust data insights Ability to take accountability and ownership for client and internal deliverables Your efforts result in streamlined data analysis, product builds and reduced time to market Competencies and Behaviours 1 -3 years analytics / data science experience Practical knowledge of; Delta Lake architecture and versioned datasets, Data pipelines, orchestration and scheduling concepts Proficiency in analytical programming language such as python and/or SQL, with the ability to interrogate datasets and validate analytical outputs Experience designing data products using large-scale transactional, behavioural or marketing datasets Understanding of data modelling concepts (fact/dimension models, feature engineering, aggregations) Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation Is curious, sceptical, inquisitive, suggests 'next steps' analysis and translates analytical findings to actionable insight Flexible, self-motivated, good under pressure, has a commitment to personal development Excellent communication skills, both written and verbal, with a willingness to engage and influence others Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial Able to travel throughout the UK Can be based at our London Office (min 2 days per week on site) Have the right to work in the UK

Senior Data Scientist Location: Glasgow Salary: Competitive About Us BiP Solutions are a SaaS business where data is at the core of everything we do. It s not just a function it s our competitive advantage. We are passionate about unlocking the full commercial value of our data to drive smarter decisions, better products, and stronger outcomes for our customers. The Role We re looking for a Senior Data Scientist to play a pivotal role in shaping and delivering our data strategy. This is a high-impact, hands-on position combining deep technical execution with strategic influence across the business. You ll lead key data science initiatives, work closely with stakeholders across commercial, product, and technical teams, and help define how we leverage data as a true business superpower. Alongside this, you will mentor and manage two junior data scientists, supporting their growth and elevating the team s overall capability. Working across the business Reporting into our Director of Public Policy & Research, you will operate across our business, building with internal relationships with our Research & Insights, Technology, Product, Marketing and Sales functions as well as external relationships, with our wider data partners. Given the cross-functional nature of this role, we will look for you to build, maintain, and strengthen trusted relationships across the business, ensuring data solutions are understood, embraced, and drive real commercial value. Key Responsibilities Lead the design, development, and deployment of data science solutions that deliver tangible commercial value Work hands-on ( on the tools ) across the full data science lifecycle, from exploration to production Shape and contribute to the company s evolving data strategy Manage and mentor a team of two Data Scientists Promote best practices in data science, including experimentation, model validation, and reproducibility Communicate complex findings clearly to both technical and non-technical audiences What We re Looking For Proven experience in a Senior Data Scientist or similar role, ideally within a SaaS or data-driven environment Strong hands-on expertise in data science tools and techniques (e.g. Python, machine learning, statistical modelling) Experience delivering data-driven solutions with measurable commercial impact Exposure to or experience with Elastic (Elasticsearch) is highly desirable Demonstrated experience managing or mentoring junior team members Excellent stakeholder management skills, with the ability to influence across multiple functions Strong problem-solving mindset with a proactive, commercially focused approach Why Join Us? Be at the heart of a business where data truly drives decision-making Shape the future of our data capability and strategy Work on meaningful, high-impact projects with real commercial outcomes Opportunity to lead, mentor, and grow a talented data team Collaborative, fast-paced SME environment with real ownership and visibility To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.

Senior Data Scientist Salary: 85,000 - 95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for a Senior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product What's in it for you? 85,000 - 95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge

We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer. This is an excellent opportunity for either an experienced mid level Data Engineer or a motivated junior with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £45K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working ideally 2 days per week in the office (Tuesdays & Wednesdays), with some flexibility available for those further away: 1 day per week in the office, or even 1 day every 2 weeks? If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!

Workday Product Specialist - Bristol - to 59,000 plus pension to 28 My client has an exciting opportunity for a Product Specialist with specific knowledge of Workday ERP package. Your responsibilities include; designing, building, testing and maintaining data management systems, working closely with data architects and data scientists recommending ways to improve data efficiency and reliability within SQL Server 2012 and above). You will understand Metadata management tools, TSQL/Stored procedure generation/Query Optimisation, SQL Server Integration Services (SSIS), Analysis Services (SSAS) including OLAP cube design and dimension modelling, Administration (backup, infrastructure provisioning, replication, security, Analysis and presentation (MS Excel, PowerPivot, SSRS, Tableau) experience of automated data integration using API's sFTP or similar and good understanding of XML technologies (XML, XPath, XSL Transformations). You will also possess knowledge of full stack software development, .NET, C#, Angular, Source Control (Git, Svn, VSTS etc.), Continuous Integration (VSTS, Jenkins, TeamCity, Bamboo), Container Concepts (LXD, Docker), Cloud (Azure, AWS etc The benefits for this role are amazing and include a pension to 28% plus other superb benefits This role is commutable from Bristol, Bath, Chippenham, Newport, Weston-Super-Mare, Chepstow, South Wales, Gloucestershire, Somerset Fusion People 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 website.

We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer. This is an excellent opportunity for either an experienced mid level Data Engineer or a motivated junior with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £45K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working ideally 2 days per week in the office (Tuesdays & Wednesdays), with some flexibility available for those further away: 1 day per week in the office, or even 1 day every 2 weeks? If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!

Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.

Software Engineer (Embedded / Algorithms / Machine Learning), Southampton, 35K - 45K 35,000 to 45,000 salary guide (depending on experience) + excellent benefits + flexible working 27 days holiday (increasing with service) + well-funded, growing MedTech environment Cutting-edge medical device company developing next-generation diagnostic systems combining hardware, software & data science Are you a Software Engineer with an interest in algorithms, data analysis, or machine learning, and how software interacts with real-world hardware systems? Do you want to work on end-to-end product development, from embedded systems through to intelligent diagnostic algorithms? Your background as a Software Engineer: Degree in Computer Science, Software Engineering, Electronic Engineering or similar (2.1 or above). Experience with C/C++, Python, MATLAB or similar Understanding of software development best practices (structured design, testing, version control) Exposure to algorithm development, data processing, or mathematical modelling Interest in hardware/software integration, embedded systems, or real-time data Any experience with machine learning, signal processing, or statistical analysis would be highly beneficial Experience in a regulated industry (medical, automotive, aerospace) is useful but not essential Software Engineer responsibilities: Develop software for advanced diagnostic instruments, spanning embedded systems, middleware, and higher-level applications Design and implement algorithms for data analysis, signal processing, and diagnostic decision-making Contribute to machine learning / data-driven approaches to improve system performance and accuracy Work closely with hardware and electronics engineers on system integration and real-world data capture Write clean, testable, and well-documented code in line with industry standards (e.g. IEC 62304) Develop and execute unit, integration, and system-level tests Collaborate with cross-functional teams including production, service, and external partners This role would suit: A Software Engineer, Embedded Software Engineer, Algorithm Engineer, Machine Learning Engineer (junior), or Computer Scientist who wants to work on real-world systems where software meets hardware, particularly within a high-impact MedTech environment. This Software Engineer job is based in Southampton and is commutable from Fareham, Portsmouth, Eastleigh, Hedge End, Winchester and surrounding areas. To apply please send your CV to Sam Hilton at Euro Projects Recruitment Ltd . Please note that if you are not contacted within ten days, your application has not been successful.

Software Developer Location: Exeter Contract: 12 months (Inside IR35) Security Clearance: SC clearance required Pay Rate: £625 per day (Umbrella) Hybrid: two days per week to begin with - 1 day after induction About the Role Join a digital team delivering critical weather and observational data to the public through web and mobile applications. You will develop robust, scalable APIs to make the latest science and data accessible to millions of users. This role involves working closely with developers and scientists to build high-quality software, coach junior colleagues, and operate services in production. Key Responsibilities Design, implement, and deliver software that meets user needs Write clean, secure, and well-tested code Follow best practices and contribute to improving them Mentor and coach junior colleagues Operate and monitor the services you build, identifying and resolving production issues Essential Skills & Experience Strong analytical and problem-solving skills Proven experience developing software using AWS and delivering data via APIs Excellent communication skills, adaptable to all levels of stakeholders Self-motivated with the ability to prioritise tasks, meet deadlines, and lead development activities Proficient in Python development Experience with AWS CDK Desirable Skills & Experience Experience with Git or similar source control systems Familiarity with AGILE software development and GDS principles Experience using AI or prompt engineering to support development Knowledge of scientific data formats such as NetCDF, BUFR, GRIB

Data Scientist Salary: 85,000 - 95,000 + Equity Location: London (Hybrid - 2-3 days per week in office) We are currently looking for a Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly into the CTO , this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Lead Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product with a clear path to exit What's in it for you? 85,000 - 95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning / data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps, subscription products or growth analytics Exposure to experimentation / A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Job Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) Job Description We are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance. Responsibilities Build and maintain scalable feature pipelines within data lakehouse architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference pipelines using AWS SageMaker. Deploy and optimise low-latency, real-time inference endpoints. Implement feature drift and concept drift monitoring. Apply procedures for data handling, encryption, PII minimisation, and auditability. Conduct validation of models using golden datasets and baseline tests. Essential Skills Strong experience delivering production-grade ML systems. Proficiency with AWS SageMaker, including training jobs and Model Registry. Excellent skills with ML models like PyTorch, TensorFlow, or XGBoost. Hands-on experience with model explainability tools such as SHAP. Understanding of low-latency, real-time inference patterns. experience in drift detection, monitoring, and telemetry. Working knowledge of ML governance and secure ML practices. Strong understanding of MLOps, CI/CD, and automation for ML workflows. Additional Skills & Qualifications experience with feature stores or Lakehouse data architectures. Previous experience with ranking, matching, or similarity models. Familiarity with cross-account AWS IAM patterns. Bachelor's degree in a STEM subject such as mathematics, physics, engineering, or computer science. Why Work Here? Join a forward-thinking company focused on innovation and excellence in machine learning. We provide a collaborative environment where your contributions directly impact the development of cutting-edge technology. Enjoy opportunities for professional growth and be part of a team dedicated to pioneering advancements in AI/ML. Work Environment Work in a dynamic and collaborative environment leveraging state-of-the-art technologies. You will have access to modern tools and resources, including AWS SageMaker and various ML frameworks. Our flexible work culture promotes work-life balance and encourages continuous learning and development. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

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.

AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.

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.