58 jobs found

Lead Data Scientist Salary: 115,000 - 125,000 Location: London/Hybrid Data Idols are partnered with a leading technology distributor that is continuing to invest heavily in data. They are looking for a Lead Data Scientist who can act as the senior technical expert within the team, someone who delivers high-impact models, sets technical standards, and leads complex projects through to production. The Opportunity As a Lead Data Scientist, you'll be the go-to technical authority, taking ownership of challenging modelling work and driving end-to-end delivery. You'll work deeply hands-on, developing advanced models, improving existing pipelines, and ensuring solutions are scalable and production-ready. You'll collaborate closely with the Head of Data Science, shaping the technical approach, advising on best practices, and leading major initiatives. While not a people manager, you will support and mentor others by setting the bar for technical excellence and helping guide their development. This role is ideal for someone who thrives as a senior IC and wants to stay close to the code and modelling while having a strong voice in technical decision-making. Skills and Experience Extensive experience building, validating, and deploying machine learning models into production Strong hands-on Python and SQL skills Experience working in cloud environments (GCP preferred) Deep understanding of experimentation, evaluation, and scalable ML design Ability to mentor others and influence technical direction without formal line management If you're looking for a role where you can remain hands-on while owning major technical challenges, please submit your CV for initial screening. Lead Data Scientist

Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026 Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we'd love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model. FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK's trusted flood estimation tools. Your role: Develop and manage hydrological methods for Qube. Contribute to ReFH2 and WINFAP5 development. Explore and implement machine learning enhancements to hydrological models. Support scientific research and integrate findings into commercial software. Work closely with regulators and users to ensure compliance, quality, and usability. Required Skills & Experience A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.). Strong programming skills in Python and/or R. Experience developing machine learning models for environmental or complex datasets. Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.). Excellent communication skills for both technical and non-technical audiences. Demonstrable experience in hydrology or water-related environmental science. A relevant postgraduate qualification is welcome but not essential. What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality technical reports. Begin your journey toward professional chartership (e.g., CIWEM). Following your first year, opportunities include: Influencing the strategic development of our software products. Leading R&D projects as a Project Manager. Helping develop client proposals. Contributing to our strategic marketing and product development plans. Benefits & Culture Our client is an employee-owned trust, who invests in their people and their wellbeing. 40+ days holiday (with buy/sell options). Profit-share and tax-free bonuses through employee ownership. Matched pension contributions (5-10%). Health plan, Cycle to Work, Environment Day. 5 days training per year, plus support towards chartership. Flexible working arrangements. Financial support for professional memberships Formal appraisal and personal development planning Flexible working hours High-quality IT infrastructure & personal computing budget Fun annual staff events (axe throwing, escape rooms, and more)

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 hardwaresoftware 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 (timefrequency 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 hardwaresoftware product development Interested? Please Click Apply Now!Senior RF Data Scientist / Research Engineer Near Cambridge JBRP1_UKTJ

Jot Title: Software Engineer x2 Positions: Senior Software Engineer, Team Lead Permanent Staff Positions Location: Abingdon, just outside London Hybrid working available, ideally 3 days based in the office Salary: please get in touch and I will reply straight away with salary details (highly negotiable) Must have skills: - Java, Eclipse RCP/SWT - Strong problem-solving abilities - Clear communication skills - Evidence of being able to solve algorithmic problems - Evidence of experience working on large monolithic thick-client applications and demonstrate how they are different than web-based applications from an engineering perspective Very nice to have: - Experience with using AI with development - Domain experience (Geophysics or another geoscience related field) Subsurface Senior Java Application developer Responsibilities include: â Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions. â Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.) â Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools â Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application. â Mentor junior developers and actively contribute to architectural and implementation decisions. â Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of experience in software development using Java â Ability to break down complex development tasks and define clear, actionable implementation of roadmaps. â Strong Java proficiency is required â C++ knowledge and experience a strong benefit â Proficiency with development tools and environments: o GitLab, Eclipse RCP/SWT, VS Code, CI/CD pipelines o Performance tools: VisualVM, JMC/JFR, Async o Operating systems: Windows and Linux â Hands-on experience using GitHub Copilot to accelerate code implementation and enhance development productivity. â Must be self-motivated but be able to work well in a team environment Desired Experience â Knowledge with geoscience software tools and formats: o SEG-Y, Landmark seismic BRICK, CMP, OpenVDS o DSG, Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C++/Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.

Data Scientist | Bristol (2 days onsite) | £50,000-£70,000 + Benefits We're recruiting on behalf of our client for an exciting Data Scientist position based in Bristol. This role offers an excellent opportunity for someone who wants to play a key part in elevating how data, analytics, and technology are used across the organisation. As a Data Scientist, you'll work closely alongside the Reporting & Analytics team, engaging directly with business stakeholders to understand their needs and translate data into meaningful insights. You'll be delivering advanced analytics, predictive modelling, and machine learning solutions that support smarter decision-making and help shape the business's future direction. This is a role with real influence - you'll have the scope to introduce new ideas, champion best practices, and contribute to the development of the organisation's wider data and technology landscape. There's also the opportunity to provide guidance to more junior team members and support the continuous improvement of analytics capability across the business. What you can expect: ? A varied role combining analytics, modelling, visualisation, and stakeholder engagement ? Influence over the organisation's data and technology approach ? The freedom to propose new methods, tools, and ways of working ? Close collaboration with senior stakeholders ? Hybrid working - 2 days a week onsite in Bristol Technical experience we're looking for: SQL Server, Python, R, Power BI Advanced analytics, predictive modelling & machine learning Data visualisation and clear insight storytelling Experience with Azure and awareness of emerging technologies, including AI Ability to explain complex outputs to non-technical audiences Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Senior Data Scientist - Fintech First Permanent DS Hire £75,000-£85,000 + benefits Fully Remote (UK) Direct report to CDO Build the DS capability FCA-regulated product This is a rare opportunity to join a fast-growing, FCA-regulated fintech as their first permanent Senior Data Scientist, shaping a brand-new data science capability from the ground up. The business has built a highly successful SaaS platform in the Fintech space. With strong investment and FCA approval now secured, they're moving firmly into the data products and insights space - turning the rich consumer financial and behavioural data they hold into real intelligence, new models, and new customer offerings. Things expected from you Sets the standard Builds the capability Shapes the roadmap Becomes the go-to person for modelling, insights and DS foundations If you're someone who enjoys autonomy, variety, being close to stakeholders, and having genuine influence in a startup that's now scaling - this is the ideal next step. This is a genuinely varied and hands-on role where you'll: Build and scale data science and modelling foundations in Databricks Work with financial, consumer and behavioural data to create new models & scorecards Design MI dashboards and reporting to help the business understand its own data Collaborate closely with Product, Finance, Customer Ops and the senior leadership team Evaluate where ML/AI can enhance the core SaaS platform Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs) Influence how the data function grows over the next 12-24 months This is the start of the data and analytics function - you won't just inherit a roadmap; you'll help write it. You'll thrive here if you are: A strong hands-on Data Scientist with experience in FS/fintech or regulated environments Confident working with Python, SQL and Databricks Capable of building predictive models, scorecards and ML components Comfortable creating dashboards/MI to support internal understanding Excited by a startup environment where you'll wear different hats Able to communicate clearly to senior and non-technical audiences Looking for ownership and long-term progression into Head of DS Why this role is genuinely exciting You're the first permanent hire - you shape how DS works here Direct line to the C-suite, not buried in a data pod True autonomy: you influence strategy, tooling, roadmap and delivery Visible across the entire business, including investors & NEDs The company is moving from SaaS - data products, meaning greenfield work Clear long-term upward path (team will grow over the next 12-24 months) - Underneath you ideally! This is the role for someone who wants more than just building models - someone who wants to make their mark and grow with a FinTech entering its next phase.

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 t click apply for full job details

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Location: This role can be based either in Cambridge or Kent Science Park, Sittingbourne Job Role: We are looking for dynamic, creative, and talented computational chemist to join our expanding Discovery & Medicinal Chemistry Department. Reporting to the Director of Medicinal Chemistry, you will apply your expertise, leadership and guidance to discover and develop novel small-molecule therapeutic agents. You will be working within a patient-focused, science-driven, and multi-disciplinary biopharmaceutical environment, covering all stages of the drug discovery process. You will collaborate with scientists from other disciplines within Jazz Pharmaceuticals and with external collaborators to build an innovative portfolio of therapeutics across our exciting and growing oncology and neuroscience pipelines. Working at the forefront of drug discovery you will advance projects from target selection to preclinical drug candidates and FiH trials, and contribute to the growth of the medicinal chemistry team. Key Responsibilities: Utilize modern molecular modelling methods to support different stages of R&D programs. Collaborate effectively with other departments and functions to advance research discovery projects expeditiously from hit identification to high quality preclinical candidates. Design, lead and drive computational studies on projects throughout the several discovery phases and ensure execution on agreed deliverables. Opportunities to lead or co-lead projects in addition to drive discipline-specific endeavours. Set the vision and strategy for computational chemistry. Foster innovative thinking in all areas of departmental activities, with a particular focus on computational and medicinal chemistry. Manage CRO compchem activities, providing expertise and guidance. Present plans and results internally, including at board level, and externally at conferences. Contribute to the writing of patent applications, scientific publications, and internal reports. Develop and mentor less experienced staff. Keep up to date with the latest scientific advances and trends in drug discovery to deliver the next-generation therapies. Undertake ongoing professional development by attending relevant training and conferences. Requirements & Qualifications: MSc/PhD in a relevant scientific discipline (Pharmaceutical Sciences, Chemistry, Computational Chemistry) with a solid foundation in molecular modelling built in a pharma/biotech/CRO setting. Expert knowledge in CADD software packages and modern molecular modelling techniques. Sound knowledge in cutting-edge cheminformatic tools, AI/ML-enabled technologies, and in silico drug design, including both structure- and ligand-based methodologies. Passion for drug discovery with a deep entrepreneurial and problem-solving attitude. Mastery of all the theoretical and practical principles of medicinal chemistry and drug design. Broad knowledge of biophysical, biochemical, and cell-based assays used in the early stages of the drug discovery process. In depth understanding of multi-parameter optimization and ability to integrate disease biology, ADME/DMPK and toxicology data to solve complex drug discovery problems. Excellent leadership, management, organizational and team-working skills, and a talent to deliver project milestones within the expected time frame. Demonstrated track record of scientific publications. Exceptional oral, written, and interpersonal communication skills, and ability to develop and grow strong cross-functional collaborations. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 435 Per Day - 590 Per Day Inside IR35 We're looking for experienced Senior Data Scientists to join a leading global streaming and technology platform, supporting their product, design, and engineering teams. What You'll Work On Designing and analysing A/B experiments across high-visibility product surfaces Creating success metrics and shaping data-driven measurement strategies Deep analytical work using SQL (BigQuery) + Python/R Building dashboards in Tableau / Looker Studio Delivering clear, actionable insights to senior stakeholders Supporting either the User Platform (login, account systems, identity management). What We're Looking For 5+ years as a product-focused Data Scientist Strong background in A/B testing and experimentation High proficiency in SQL (BigQuery preferred) Skilled in Python or R Excellent communication and stakeholder management Experience working in fast-paced consumer tech or streaming environments is a strong plus This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.

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

THE ALAN TURING INSTITUTE Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here . BACKGROUND The Applied Research Centre (ARC) sits within The Alan Turing Institute s Defence & National Security (D&NS) programme, working with partners across UK Government to turn real-world data challenges into research questions and apply cutting-edge Deep Learning/AI in a readable, reliable and reproducible way. CANDIDATE PROFILE An experienced researcher/data scientist (PhD or equivalent experience) with strong programming and advanced statistical/numerical foundations, practical experience or clear interest in Deep Learning/AI, and confidence working in modern research languages (e.g. Python). You ll have excellent research software engineering habits (version control, testing, reproducibility), communicate clearly through technical writing and presentations, and be comfortable learning new domains fast. Eligibility for SC clearance is required. DUTIES AND AREAS OF RESPONSIBILITY Understand partner problems and shape appropriate approaches/experiments Apply state-of-the-art Deep Learning/Data Science to D&NS challenges Run rigorous investigations, producing deployable proof-of-concept code and technical write-ups Design and execute experimentation in small teams (with guidance from senior staff) Present and document work for reuse Work at pace using standard tooling for testing, version control and collaboration; contribute to technical excellence PERSON SPECIFICATION PhD or equivalent professional experience using programming and advanced statistical/numerical methods Interest/experience in Deep Learning/AI; fluency in a modern research language (e.g. Python) Strong reproducible/RSE practices (VC, issue tracking, automated testing, experiment management) Excellent written/verbal communication; stakeholder-oriented thinking Team-working, independent planning/execution, problem-solving and data analysis/reporting skills PyTorch/TensorFlow/Jax/Transformers; problem scoping with customers; managing research data/experiments; AI tooling awareness Commitment to EDI and organisational values; eligible for SC clearance Please see our portal for a full breakdown of the Job Description. TERMS AND CONDITIONS This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 including flexible working and family friendly policies Employee-only benefits guide The Alan Turing Institute . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. APPLICATION PROCEDURE Please see our jobs portal for full details of how to apply and the application process. EQUALITY DIVERSITY AND INCLUSION We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.

Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

We are sourcing a Full-Stack Developer on behalf of a public sector organisation to support the delivery of an AI-powered Personally Identifiable Information (PII) redaction service. We are seeking candidates with expert knowledge of Python. The successful candidate will join a multidisciplinary delivery team comprising Data Scientists, a DevOps Engineer, a User Researcher, Product and Delivery Leads, Subject Matter Experts, and a Senior Interaction Designer. The role will involve designing and building both the Front End and Back End of a Minimum Viable Product (MVP). An early prototype has already been developed by internal Data Scientists. The Full-Stack Developer will work closely with them to transform this into a secure, scalable service suitable for operational use. Key responsibilities: Design, develop, and maintain Front End and Back End components of an AI-driven redaction service Collaborate closely with Data Scientists to productionise machine learning prototypes Deliver MVP functionality using Agile methodologies , working in fortnightly sprints Enhance software resilience, stability, and scalability Work effectively with and improve pre-existing codebases Apply engineering practices that support continuous delivery Produce clear documentation throughout the software development life cycle (SDLC) Skills & experience: Expert knowledge of Python Strong Front End development skills using HTML, CSS, and frameworks such as React and Angular Expert understanding of relational databases and data modelling Experience collaborating with multidisciplinary teams to design and maintain software Proven experience delivering MVPs in Agile environments Experience with containerisation Experience improving software robustness and stability Familiarity with continuous delivery practices Experience designing software that allows users to view and interact with documents (PDF, Word) or images Experience working with cloud-based platforms such as AWS (desirable) If you consider yourself to have a disability or if you are a veteran, and you meet the essential criteria for the role, you will be put forward for the Guaranteed Interview' scheme whereby you will have the opportunity to discuss this role and your suitability with a member of the Sourcing team. How to Apply Quote the Job Title and Reference Number in your application. Submit your CV in Word format. Applications are reviewed on a rolling basis-early submission is recommended. We will also add your details to our mail out lists. Please note you may receive details of roles outside of your immediate vicinity, as many candidates are able to relocate temporarily for work. Please disregard any such emails that are not of interest and let us know if you would rather not receive such mailouts and/or if you wish us to delete your details and prefer to apply direct to our advertised roles. If you do not hear from us within three working days, unfortunately your application has not been shortlisted on this occasion. Thank you for your interest in working with us.

We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.

Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits 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 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.

Manpower are currently seeking an interim Hair Aerosol Formulation Scientist, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based at our client's scientific Research & Development facility in Port Sunlight Village, Wirral easily accessible by train and car. This is a full-time temporary role to run until March 2027, requiring 37.5 hours per week, Monday to Friday. Compensation for this role is competitive, paying between 31,205 and 37,665 per annum, pro rata, depending upon experience. Business Context and Main Purpose of the Job Unilever is a fast-moving consumer goods company, and the global styling team is looking for an exceptional Hair Aerosol Formulation Scientist to help deliver innovative hair aerosol products that delight consumers. Our team has the unique advantage of being involved in new product development from concept through to launch, working across iconic brands such as Sunsilk, Tresemm , Dove, Nexxus, Andrelon, and many more globally. The role spans a diverse product range including dry shampoos, hairsprays, mousses, and emerging aerosol formats. It involves both formulation and packaging development to create final products that combine superior performance, sustainability, and cost-effectiveness. Our ambition is to create irresistible products that meet consumer needs while driving innovation and efficiency. Main Accountabilities KEY ACCOUNTABILITIES: - Lead the development of next-generation hair aerosol products, covering both formulation and packaging aspects as well as straightening the current product range. - Lead the hair aerosol innovation projects to a high standard by planning and executing experiments, generating and analysing data, drawing clear conclusions, and recommending next steps. Communicate findings effectively to stakeholders. - Identify and develop new and existing benefits for hair aerosol formats, including hairsprays, dry shampoos, and mousses, ensuring alignment with consumer needs and market trends. - Create and optimise hair aerosol formulations, ensuring adherence to all relevant regulations and quality standards. - Define and drive the formulation and packaging agenda for hair aerosol formats, coordinating and executing qualification testing to support product manufacture and validation. - Enhance current testing methodologies, generate robust data, and present insights with clear recommendations to inform decision-making and future development. - Plan and supervise the work of other team members, providing technical guidance, mentoring, and support to ensure high-quality delivery and capability development across the team. Direct Reports Key Interfaces This position will report into senior manager. BRAND, CTI, other format's, supply chain, procurement, TPL, BU, suppliers, patents. Essential Experience / Skills - BSc/MSc in a relevant scientific discipline. - Understanding of aerosol products preferred and ideally expertise in one or more of the following areas: colloid science, polymer science, electrochemistry, or material science. - Previous experience in personal care formulation science desirable - Excellent laboratory skills with the ability to translate experimental insights into innovative product opportunities. - Ability to work independently and effectively within a multidisciplinary team environment. - Strong technical skills combined with a passion for learning and exploring new technologies. - Excellent written and verbal communication skills for clear reporting and stakeholder engagement. - Self-motivated, hardworking, loyal, and committed, with a growth mindset and bias for action. - Strong IT skills and a proactive approach to leveraging new digital tools and technologies. - A consumer/customer-centric mindset to ensure product relevance and appeal Port Sunlight working environment: Free onsite parking Staff shop discounted products Working in state-of-the-art laboratory and pilot plant facilities Free parking onsite 5 mins walk to train station serving Liverpool & Chester 20-minute drive from Liverpool city centre/30-minutes drive from Chester Disabled parking In the heart of picturesque Port Sunlight village There are also several site clubs available to join covering a range of topics including Book Club, Running, Choir, Pool, Genealogy and much more. The sites have three catering outlets which provide a range of hot and cold food and drinks daily. In addition there are a range of vending machines and cold water dispensers around the site accessible throughout the day.

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

A fantastic opportunity for a Senior Web Developer to join a well established software company building mission critical web platforms used by large, complex organisations. This is a role well suited to someone from an agency or consultancy background who enjoys working closely with clients, juggling multiple projects, and delivering high quality, accessible web solutions across a varied technology stack. You will play a key role in both developing new functionality and supporting the ongoing modernisation of long standing enterprise systems. Location: Hybrid, Milton Keynes Salary: Up to 60,000 per annum plus benefits Requirements for Senior Web Developer: Strong commercial experience as a Senior or Lead Web Developer with a front end focus but possess a full stack capability - we are very keen to hear from Developers who have previously worked in an agency environment. Expert knowledge of HTML, CSS and JavaScript, with a proven track record of delivering accessible web applications to WCAG 2.2 Level AA Experience working across browsers and devices, ensuring consistent and high quality user experiences Good working knowledge of SQL and relational databases, ideally SQL Server Server side development experience using C# or a similar object oriented language Strong understanding of secure development practices aligned with OWASP guidelines Comfortable working with Git based version control workflows Experience with common front end tools and frameworks such as jQuery and SASS Confidence engaging directly with clients and stakeholders, ideally gained in an agency or consultancy environment Able to work autonomously while contributing effectively within a collaborative development team Experience in the following is beneficial: .NET Web Forms, .NET 4.8, .NET Core, Web API, React, Vue, TypeScript, Playwright or similar automated testing tools, CI/CD pipelines, JIRA, Figma Responsibilities for Senior Web Developer: Design, build and maintain robust, accessible and performant web interfaces Develop secure and reliable server side components and system integrations Work closely with project managers and stakeholders to shape technical solutions from requirements through to delivery Carry out code reviews, uphold development standards and promote best practice across the wider team Diagnose and resolve complex issues across front end, back end and database layers Contribute to planning, estimation and technical decision making Support and enhance long standing enterprise systems, including those with legacy components Balance multiple projects and priorities while maintaining a high standard of delivery What the role offers: The chance to work on varied, client facing projects within a collaborative and people focused environment A balance of greenfield development and modernisation of established platforms Hybrid working with a welcoming office environment in Milton Keynes A strong benefits package including generous holiday allowance, wellbeing initiatives, pension contributions and performance related bonus Regular social events, learning opportunities and clear support for long term career development Applications: If you would like to apply for this Senior Web Developer role, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (url removed) (if this email address has been removed by the job board, full contact details are available on our website). RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.