51 to 75 of 1,379 Machine Learning Jobs

space sectors Explore and implement machine learning models on complex, multi-modal datasets Influence technical direction and best practice in AI, ML, and statistics Mentor and support junior data scientists and graduates Engage directly with clients to scope, design, and deliver scientifically-justified solutions Key Responsibilities … technical lead and trusted advisor for AI and data science expertise across projects and bids Lead and contribute to AI and ML projects, collaborating with ML engineers, project managers, and non-technical stakeholders Meet with clients to understand their challenges, scope projects, and plan delivery of AI solutions Support ...

Senior Machine Learning/AI Engineer £100,000-£125,000 Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN 27 days of annual leave plus 8 bank holidays and 5 additional days, including life event, volunteering, and company-wide wellbeing … emerging AI tools and techniques, applying them to deliver exceptional, user-focused experiences. What the Company Is Looking For Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large ...

company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. … Opportunity The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams ...

Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these … clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data ...

Machine Learning Engineer (Python/MLE ) 6 Month Contract £650 - £750 Remote Umbrella Urgent Start We are looking for a number of MLE/Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability … major public cloud provider (GCP, AWS, or Azure). Experience with BigQuery would be good. Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting. Direct experience with Google Cloud Platform, BigQuery, and associated tooling. Experience with workflow tools like Airflow or Kubeflow. Familiarity ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern … stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model ...

Cutting-edge Research for a Changing World PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1 Commencement date: as soon as possible Work location: Geesthacht Application deadline: April 26th, 2026 The Institute of Material and Process Design … computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch background knowledge in computational mechanics and materials science highly proficient in spoken and written English We offer you an exciting ...

parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions … align data strategy with broader business goals. You will play an integral role, taking ownership of a team focused on designing, developing, and deploying ML systems to solve real world problems and enhance business processes, leveraging cloud platforms to build, train, and scale ML models. As Head of Data Science ...

Partner with Platform and Commercial leaders to identify where intelligence can unlock step-change improvements. Bring a clear point of view on AI investment, ML investment, experimentation evolution and long-term capability. Bring a clear playbook for build vs buy decisions in an evolving vendor space. Deliver real-world impact … Lead the development and productionisation of ML systems across search, pricing, recommendation, marketing optimisation and elsewhere. Drive measurable value through direct delivery and by scaling ML capability across the organisation. Ensure our experimentation and modelling approaches are rigorous, scalable and commercially grounded. Translate complex technical work into clear business insight ...

Redefine What’s Possible. We’re working with an early-stage deep tech company developing a next-generation analytical platform at the intersection of machine learning, mathematics, and experimental science. They … hiring one of their first technical team members, a Machine Learning Research Engineer, to help design and develop the core ML-driven analysis engine that underpins the entire platform. This is not a narrow modelling role. It’s an opportunity to help define the research direction, shape ...

structured data (Information Modeler) Experience in data modelling techniques and tooling. (Test) Quality Assurance and Test Automation experience in a Data Pipeline. (Machine Learning) Experience of industrialising and scaling machine learning models. (Machine Learning) Experience using machine learning frameworks such as TensorFlow … Compose/Data Bricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working Experience testing and testing standards. ...

ML/AI Software Engineer A brilliant opportunity for a Machine Learning-focused Software Engineer with experience in AI, Audio, and Computer Vision to join an incredibly exciting start-up in London, which is currently in stealth mode, developing pioneering technology in the security and media analysis space. … mostly onsite (4–5 days per week) Salary: £55,000 – £90,000 per annum + equity in the business Requirements for AI/ML Software Engineer At least 2 years of commercial experience in an Artificial Intelligence Software Development role with exposure to areas like computer vision, audio processing ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… knowledge-sharing and continuous improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...

drive continuous improvement Collaborate cross functionally with product, engineering, and commercial teams Mentor and elevate a high-performing team of data scientists and ML engineers Contribute to AI strategy, including developments in generative AI Experience 6–12 years’ experience in data science, currently operating at Principal level Strong grounding … machine learning fundamentals (supervised learning essential) Proven experience delivering production-grade ML solutions Strong Python and SQL skills Experience with experimentation and data-driven decision making Ability to operate as a hands-on technical leader (not pure management) Advanced degree (Master’s or PhD) in a quantitative ...

tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI. Currently, they are looking to hire ML Engineers for their Lead position in their Energy and Environmental unit The ideal candidate will be someone who has done hands-one work … Lead ML engineer within the Energy or Environmental sector. You will: Provide technical leadership for complex machine learning initiatives, evaluating strategic trade-offs, establishing project plans, and managing delivery across multiple streams in uncertain or high-stakes environments Develop and manage robust, scalable machine learning ...

deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability … data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable ...

hardest problems. Accountability for every result. Integrity always. About The Role Lead the architecture and evolution of scalable, high-performance data pipelines and ML systems , focusing on data ingestion, transformation, quality checks, and enrichment. Provide technical leadership and mentorship to a cross-functional team of ML Engineers, Data Scientists … automate data quality, link canonical products, and create intelligent data enrichment solutions. Define strategies to enhance the performance, reliability, and observability of data and ML services, ensuring robust, high-quality data outputs. Design and implement frameworks for evaluating data quality and the effectiveness of ML models through both offline metrics ...

Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these … clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. … Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability. Contribute to architecture decisions for ML pipelines and data flows. Apply secure coding and configuration practices in line with compliance standards. Mentor junior engineers and share best practices across the team. Support innovation by researching emerging ML ...

Machine Learning Engineer is required to join a fast growing community of like-minded Engineers at the forefront of next generation manufacturing technology. This is a fantastic opportunity for a Machine Learning Engineer to take on a role leveraging your technical and communication skills to influence … critical engineering decisions and impact the scale up of manufacturing operations. Machine Learning Engineer Skills you will use: Strong Mathematical/Statistics background Coding in Python Probabilistic modelling You will learn: To develop Machine Learning models for statistical process control To model and predict performance ...

fast-growing AI analytics company is seeking a Data Science Consultant to help enterprise organisations unlock value from large-scale behavioural data using advanced machine learning and AI technologies. The company builds cutting-edge behavioural AI platforms used by global enterprises across telecoms, financial services, retail and digital … with a consultative mindset . This role is ideal for data scientists looking to become more client-facing , or technical consultants with a strong machine learning background who want to work with modern AI tooling and large-scale data. The Role You will join the Client Success team ...

finance-driven analytics role. The focus is on scientific, engineering, and operational data, including time-series and image data, with exposure to machine learning experimentation and modern AI tooling, including GenAI. What You’ll Be Doing Data Preparation and Engineering Collect, clean, and validate data from sensors, internal … issues. Exploratory Analysis and Insight Generation Perform exploratory data analysis to identify trends, anomalies, and patterns. Translate findings into clear, structured insights for stakeholders. Machine Learning and AI Support Support development and testing of machine learning pipelines. Work with time-series, tabular, and image datasets. Assist ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer … processes, designing and implementing solutions, and ensuring AI is embedded effectively across the organization. You'll use your expertise with RAG techniques and machine learning to lead initiatives to integrate AI into existing workflows and help evolve the product offering with cutting-edge capabilities. The Company Our client ...

commercial performance and competitive advantage. They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high-impact data science function that consistently delivers measurable business outcomes. This … performance metrics, and positioning machine learning as a long‐term strategic differentiator for the organisation. Skills & Experience Experience operating at scale where ML directly influences commercial performance A track record of building and leading high‐performing data science teams Strong stakeholder management skills, with the ability to influence ...