1 to 25 of 48 Machine Learning Jobs in the Thames Valley

models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct … successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects … on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and More ❯

edge machine learning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure … primarily using AWS. You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects. This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours. Key Responsibilities Maintain and improve ML Ops infrastructure Manage … on premise Kubernetes clusters and ML pipelines Integrate ML toolkits into operational workflows Collaborate with ML developers to streamline workflows Suggest and implement technical improvements and new tools Required Skills and Experience Academic background (research Masters level) or industry experience in a relevant field Strong experience managing on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

Office Based 5 Days Monday – Friday Key skills: Computer Science or A.I qualification or similar, Ideally Python, Machine Learning Concepts, Communication and Evaluation Skills. My Client is the rapidly growing European subsidiary of a global Film company who specialise in lighting, rigging, generators, etc. The also own film studies as well as facilitate studios for other organisations. They … solutions to support operations. You will have the opportunity to gain comprehensive, hands-on experience in multiple areas of a multilocation, commercial business. This role will offer an insightful learning experience in a dynamic and fast-paced work environment. with exposure to real-world applications requiring artificial intelligence and automation. You will work closely with the IT department and … AI deployments. Produce technical documentation, including usage guides and risk assessment templates. Present findings and recommendations to stakeholders through structured viability reports. Recognise personal development needs and proactively seek learning opportunities to support growth in AI and automation. You Will Need To: Currently pursuing or recently completed a qualification in Computer Science, Artificial Intelligence, or a related field Exposure More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience More ❯

of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI/ML Implementation: Design and implement AI/ML algorithms to … automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Proven … application of AI/ML in geoscience projects. Experience with the energy sector. Familiarity with geological process modelling. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff … and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross-functional team of world-class cheminformaticians, AI/ML scientists, and engineers to deliver high-impact tools, from synthesis-aware generative models to advanced physics-based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You … years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer-centric product principles, whether … its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without More ❯

internal and external) to understand data needs, articulate the value of data initiatives, and communicate the team's progress on key projects. AI & Machine Learning: Embed scalable ML/AI capabilities into the data infrastructure to enhance applications and business processes. Promote adoption and support high-value initiatives such as predictive modelling, advanced analytics, and intelligent automation. Data … in Board Reporting. Experience of implementing Data Governance, system integration and process optimisation. Experience of delivering Data Architecture and Data Engineering within a cloud environment. Experience of delivering AI & ML initiatives Exposure to Microsoft Fabric, cloud development, SQL, Python, PowerBI or Desirable: Experience managing technical teams of up to 20 people in a complex, challenging environment setting and managing against More ❯

in leadership or leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum More ❯

problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

decision-making culture across the organization Education, experience and skills Bachelor's degree in a quantitative field (Master's or PhD preferred) At least 6+ years of experience applying machine learning and predictive analytics techniques Strong programming skills in Python or R Experience leading end-to-end analytics and data science projects Knowledge of the pharmaceutical industry and More ❯

with Pixhawk. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you’re passionate about both robotics, in particular More ❯

for delivery. What should you bring along? The candidate should be studying an IT, Business or Engineering related degree working towards a 2:2 or higher. Knowledge of different machine learning algorithms and experience implementing them in code. Knowledge of data analysis and data mining techniques, and experience implementing them in code. Expertise in using programming tools such More ❯

infrastructure and DevOps practices. Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience with cross-functional team leadership. Desirable Skills: Experience with DCIM tools such as Nlyte. Previous involvement in audits and compliance More ❯

infrastructure and DevOps practices. Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience and ability to lead cross-functional teams. Desirable Skills/Knowledge/Experience: Ensuring the safe and reliable operation of More ❯

how science moves forward!Java Engineers here build the platforms that make this possible. Whether it’s designing fast, reliable search systems for chemical data, improving the accuracy of machine learning models, or creating clean, intuitive interfaces for researchers, the work is deeply technical and genuinely meaningful. You won’t be building throwaway features, you’ll be solving … TDD, Kafka and agile.Salary in the range of £100k - £120k, based in Oxford (hybrid), 8% pension, health and dental insurance, 25 days holiday and two stage interview process.Interested in learning more? Or know someone who might be interested in this role Please steer them my way – or add me on Linkedin – Rebeka Mulk @ Opus to have an informal chat.Please More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on and strategic: shaping the technology roadmap, delivering core features, and setting the foundations for future team growth. Why Join Us? Work at the intersection of cloud, AI/ML, and industrial robotics Shape a platform already adopted by global enterprise customers Influence a product roadmap focused on predictive analytics and customer-driven ML models Step into a leadership role … data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves Knowledge of machine learning, image processing, or predictive analytics Exposure to IoT or industrial data Previous experience in a start-up or high-growth SaaS company More ❯

on and strategic: shaping the technology roadmap, delivering core features, and setting the foundations for future team growth. Why Join Us? Work at the intersection of cloud, AI/ML, and industrial robotics Shape a platform already adopted by global enterprise customers Influence a product roadmap focused on predictive analytics and customer-driven ML models Step into a leadership role … data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves Knowledge of machine learning, image processing, or predictive analytics Exposure to IoT or industrial data Previous experience in a start-up or high-growth SaaS company More ❯

emerging technologies, especially GenAI. Strong analytical and problem-solving skills. Excellent communication and cross-functional collaboration abilities. Experience in operations, data analytics, or technical support. Exposure to AI/ML tools or an eagerness to learn. Why Join IRIS? Youll play a key role in shaping how we use AI to improve customer outcomes, streamline processes, and foster innovation across More ❯

teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited is acting as an More ❯