126 to 150 of 151 Data Science Jobs in the Thames Valley

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong More ❯

for our complex engineering products and for working closely with other staff members in Research & Development, systems engineering, Product management and applications. Responsibilities and Duties Lead a team of data scientists in their delivery of high quality, fault-tolerant software, often in a time sensitive manner. Own the Data Science strategy for the company and be able More ❯

NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our … global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not … Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and propose More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. YOUR PROFILE Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and propose More ❯

skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems … with real-world impact. Key Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering … Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). More ❯

AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing how the world designs … rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from … in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the boundaries of More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We believe in making the most of the journey. If you’re ambitious, inventive, and eager to contribute to the early stages of a fast-growing consultancy, we’d love to have you on board. We’ll explore … the limitless opportunities of data and AI – driving excellence and having plenty of fun along the way. We’re looking for an experienced and driven Programme Manager to lead the successful delivery of complex, high-impact AI and Machine Learning initiatives. This isn’t just about overseeing projects — it’s about shaping client outcomes, driving commercial growth, and developing More ❯

of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯

and energy; and improve their ROI. sustainability meets profitability. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients’ systems. You will be joining a strong team of Backend Python Engineers, Data Scientists, and financial experts, who are … Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. You’ll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in … FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

development and advancement, frequently not available at other consulting firms: Structuring and performing analysis, and conducting primary research, to uncover the insights that support our recommendations to clients Translating data into meaningful insights and recommendations Presenting at team and client meetings, and determining the most practical way to drive lasting results based on your insights working with senior executives … relationship with clients, listen to their challenges and needs. Design and conceptualisation of MVP (Minimum Viable Products), which are early prototypes of Entrepreneurial Solutions Develop methodological skills to search data and gather information. Structure analyses and distil messages on appropriate communication media. Willingness to travel across Europe is required. Additional information Learning Programme: In addition to your operational development … techniques Oral and written communication Advanced Excel modelling Strategy development toolkit Development training in specific programming languages 3HORIZONS symposiums with industry leaders Working directly with business experts, creative designers, data scientists Qualifications Education: Science, Technology, Engineering or Management Masters Degree Experience: 0.5-2 years Languages: Fluent in English. Italian language is considered a plus. Software: Proficiency in Microsoft More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a leading university. Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools. Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

currently supporting a leading research-driven organisation in their search for a Senior Platform Engineer to design, build, and maintain secure, high-performance cloud infrastructure supporting large-scale scientific data platforms. This role offers the chance to apply your engineering expertise in a purpose-driven environment, developing systems that enable cutting-edge data analysis and discovery. Key Responsibilities … Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery solutions Implement best practices in DevSecOps , identity and access management , and network security Collaborate with data scientists, researchers, and software engineers to deliver reliable, scalable systems Ideal Profile: Strong background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture … preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

currently supporting a leading research-driven organisation in their search for a Senior Platform Engineer to design, build, and maintain secure, high-performance cloud infrastructure supporting large-scale scientific data platforms. This role offers the chance to apply your engineering expertise in a purpose-driven environment, developing systems that enable cutting-edge data analysis and discovery. Key Responsibilities … Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery solutions Implement best practices in DevSecOps , identity and access management , and network security Collaborate with data scientists, researchers, and software engineers to deliver reliable, scalable systems Ideal Profile: Strong background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture … preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting Applications for the role of Senior Principal Consultant … challenges that matter • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything More ❯

400m revenue we achieved in 2021 and are looking to grow exponentially over the next few years. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we have open and honest conversations about what’s More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

Product Analyst London (Hybrid – 2x Days a Week in Office) £75,000-£85,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced … and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused … and passionate about understanding user behaviour to drive measurable outcomes You’ll be responsible for: Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy Designing, running, and evaluating experiments to optimise product performance and improve conversion Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery Building and maintaining dashboards and More ❯

Senior DevSecOps Engineer - Global Health Data Platform Location: Oxford or London (hybrid: 3 office/2 WFH) Join a world-class research and technology organisation using data and AI to tackle global challenges - from health and food security to climate and clean energy. They're now hiring a Senior DevSecOps Engineer to help build and secure this cloud … first data platform. You'll drive automation, embed security, and collaborate across engineering, data, and bioinformatics teams to deliver scalable, reliable infrastructure. What you'll do Design and maintain secure cloud infrastructure (Oracle Cloud Infrastructure). Build IaC with Terraform for consistent, automated deployments. Develop CI/CD pipelines (e.g., GitHub Actions) with built-in security testing. Support … data scientists and engineers in deploying secure, automated workflows. Implement monitoring and compliance (ISO 27001, SOC 2, GDPR). Mentor engineers on DevSecOps best practices. What you'll bring Strong cloud experience (ideally OCI ). Industry experience in the pharma space Hands-on with Terraform , Docker , Kubernetes , and Git . Solid CI/CD and security automation skills. Knowledge More ❯

programmes, ensuring solutions are robust, scalable, and production-ready. Set the engineering standards , ways of working, and technical excellence benchmarks for teams. Lead and grow teams of engineers and data scientists, supporting career development and fostering a culture of delivery excellence. Operate as a senior consultant , engaging with C-suite and senior government stakeholders to shape strategy, scope projects … of AI for public good. This role offers the chance to: Shape the technical direction of high-impact programmes in government. Lead and grow exceptional teams of engineers and data specialists. Be at the table with senior decision makers , influencing strategy and delivery at national scale. This is a career-defining opportunity for a hands-on engineering leader who More ❯

at Oxford's Digital Humanities Summer School Oxford Martin Hadley and I are organizing a 5-day Wolfram Language workshop at Oxford's Digital Humanities Summer School, Analysing Humanities Data: An Introduction to Knowledge-Based Computing with the Wolfram Language. This course provides an example-led introduction to techniques for analysing a wide range of humanities data with … related and geographic computation, and machine learning. The course assumes no prior knowledge of any programming language. Participants will learn the concepts needed to import, manipulate, and analyse humanities data using both natural-language input and scripted interfaces to the Wolfram Language and to share their data and applications in the cloud. Part of the material in the … graphing & plotting, time series analysis, an intro to machine learning, sound analysis & sonification, using MMA with R-Link, etc. Meet the Instructors and Course Context Martin (who is a data scientist for Oxford University IT Services, and previously worked as a consultant for Wolfram Research) will be teaching the course. My research background is in the humanities (I'm More ❯