1 to 25 of 121 Machine Learning Jobs in the Thames Valley

advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. Our More ❯

Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data … environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates … all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all More ❯

Spark, Kafka, or Hadoop . Proficiency in programming languages such as Python, Scala, or Java , with the ability to write efficient, scalable code . Experience working with AI/ML-driven platforms and understanding how data systems integrate with machine learning pipelines . Ability to work cross-functionally in high-performing teams, collaborating with AI researchers and engineers. More ❯

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

skills. Excellent collaboration skills, including working with external vendors. Effective communication skills, with experience presenting to senior management. Understanding of business processes and how technology aligns with segment priorities. Learning agility and enthusiasm for new technologies. Negotiation and influencing skills, with a proven ability to deliver in matrix organizations. Key Responsibilities Design and maintain data architecture, strategies, and pipelines … and platforms across Demand, Supply, R&D, and Commercial areas. Communicate analytics capabilities, standards, and processes effectively. Collaborate on technical architecture development with engineers and architects. Expand knowledge in machine learning, data science, AI, and related fields. What can you expect from Mars? Work with diverse, talented teams guided by our Five Principles. Join a purpose-driven company … committed to building a better tomorrow. Access to top-tier learning and development resources, including Mars University. Competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Assistance and accommodations are available More ❯

Oxford, but we have many flexible and partially remote options. About Us Based in Oxford, Plyable is an award-winning startup that specialises in using the latest AI and machine learning technology to automate the quoting, design and production of tooling and parts for composite (carbon fibre) manufacturing. The demand for composites is surging, particularly in industries such … this, but would not be a part of the role unless desired) Our Culture We are a new player in a traditional manufacturing industry and the team is constantly learning and willing to question the status-quo. We take quality code very seriously. We work in small intelligent teams. We have developer freedom, meaning we have a common goal More ❯

on-road and off-road applications, utilising state-of-the-art robotics and AI algorithms. You will collaborate extensively across the company, working closely with other Planning teams (like Machine Learning and Trajectory Planning), upstream teams (such as Perception), and various other groups in a highly cross-functional environment. Your Team You will join our Planning Team, where … architecture and strategic direction of your team, and overall shape the development of the Oxa Driver. Promote a cross-functional development style and closely collaborate with routing, trajectory planning, machine learning, and other teams to achieve human-like, predictable, and safe AV driving behaviors. Drive the adoption of engineering and software development best practices in your team. Create … development skills, including modern C++ algorithm development and deployment in a production environment. Deep understanding of modern software engineering practices, including automated testing and CI. Understanding of AI/ML techniques for decision making and/or motion planning in the AV space. Extra kudos: A customer-obsessed mindset. We value people who relentlessly try to anticipate and prioritise the More ❯

systems e.g., LLMs, RAG, Graph networks Strong experience deploying LLM’s for searching pipelines Up to date with current LLM and NLP research Experience designing, developing and deploying production machine learning pipelines Strong background in NLP techniques BS, MS or Ph.D. degree in Computer Science or related quantitative field Strong presentation skills Python for machine learning More ❯

all of the following Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

Summary We are hiring a AI & Data Science Lead to head our AI Centre of Excellence. This role consolidates responsibilities across Generative AI (GenAI) , traditional Machine Learning (ML) , and early-stage Data Science . You will shape and deliver the technical strategy for our AI initiatives, while also acting as a hands-on engineer, mentor, and leader. You … will be responsible for delivering high-impact GenAI use cases, establishing core AI platform capabilities, supporting a Machine Learning Engineer on classical ML projects, and building the foundation for a future Data Science function. You will also define LLMOps and MLOps practices and ensure the infrastructure is in place to support long-term AI success across the business. … Key Responsibilities: Strategy & Leadership Collaborate over the AI roadmap across GenAI, ML, and Data Science. Lead the AI Centre of Excellence, managing a growing team of AI engineers. Represent AI in senior product, engineering, and vendor forums. Generative AI Delivery Lead design, prototyping, and deployment of GenAI use cases (e.g. co-pilots, AI agents, RAG systems). Establish scalable LLMOps More ❯

implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems. Track the latest … learning frameworks (e.g., PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline. Strong communication skills and an ability to collaborate effectively with technical and non-technical teams. This More ❯

AI era, with research outputs expected to be published in top conferences and contribute to Fujitsu’s business advancements. Mentoring interns and junior researchers to foster a culture of learning and innovation. Your Transferable Skills and Experience To be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have … Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud More ❯

and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with application in an engineering or manufacturing environment, and the ability to lead cross-functional … to deliver Proven experience in leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi 1 stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing More ❯

and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with application in an engineering or manufacturing environment, and the ability to lead cross-functional … to deliver Proven experience in leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi(1)stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing More ❯

performance system that tackles a fascinating range of technical challenges. From massive-scale data handling with caching and persistence requirements to interprocess communication, low-level networking, or integration of machine learning workloads on GPUs, the system touches on almost every aspect of modern software engineering. A heavily multi-threaded runtime adds another layer of depth for those who … make in advance of commencing the interview process with us. Learn more about our culture here Why become an Oxbot? Our team of engineers, mathematicians and experts in AI, machine learning and much else is truly world-class. They are solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have More ❯

/B and multivariate testing to improve UX and conversion. Drive segmentation and personalisation strategies. For the Re-commerce Brand: Refine and expand product valuation algorithms. Introduce automation and machine learning to valuation processes. Improve dashboards for customer behaviour insights. Collaborate on testing programs to improve site performance. Enhance competitor analysis and integrate findings into strategy. 🎯 What We More ❯

parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning More ❯

parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning More ❯

AI-based software solutions. Experience in supply chain risk management is highly desirable. Hands-on technical experience with SaaS or AI-based solutions. A solid understanding of AI technologies (machine learning, natural language processing, etc.) and their application in business processes. Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical More ❯

evolve the product vision for AI-powered clinical operations platforms, with a focus in agentic automation of workflows. Cross-Functional Leadership: Lead cross-fuanctional pods composed of AI scientists, ML engineers, software developer engineers, and UI/UX researchers. Drive execution through agile methodologies, ensuring delivery of scalable, secure, and compliant AI solutions. Stakeholder Engagement: Collaborate with clinical SMEs, regulatory … a fast-paced tech or life sciences environment Deep understanding of the clinical trial lifecycle and operations (e.g., clinical operations, site monitoring). Strong technical fluency in AI/ML concepts, including, LLMs, prompt engineering, and agent orchestration Demonstrated ability to lead cross-functional teams and deliver products in regulated envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced … degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics This role is not eligible for UK visa sponsorship. IQVIA is a leading global provider More ❯