learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
Stafford, England, United Kingdom Hybrid / WFH Options
Energy Job Search
excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented MachineLearning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will … be at the forefront of developing, deploying, and validating cutting-edge AI/ML models designed specifically for grid innovation applications. You will play a key role in building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud. Reporting … the company's mission to foster innovation, inclusivity, and progress. Job Description Essential Responsibilities: Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors. Create innovative analytics to optimize grid system performance and product differentiation. More ❯
Birmingham, England, United Kingdom Hybrid / WFH Options
Turnitin
by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. MachineLearning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered MachineLearning systems. You will … choices, and be able to explain them to the organization. Qualifications Required Qualifications: Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A strong More ❯
Social network you want to login/join with: Data Scientist/MachineLearning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, MachineLearning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/MachineLearning Engineer … You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machinelearning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Data Scientist will join a very bright, talented … Science/MachineLearning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯
Birmingham, England, United Kingdom Hybrid / WFH Options
Ripjar
and data products. You will carry out data analysis tasks to develop Ripjar's understanding of relevant data and will develop, evaluate and deploy machinelearning models that integrate with Ripjar's software products and data processing pipelines. You will be working with Language models, machinelearning … such as Spark and Hadoop Experience in software development in agile environments and an understanding of the software development lifecycle Experience using or implementing ML Operations approaches is valuable Working knowledge of statistics and experience with producing data visualisations. Benefits Why we think you'll enjoy it here: Base Salary … days ago Stafford, England, United Kingdom 1 week ago Birmingham, England, United Kingdom 2 days ago Coventry, England, United Kingdom 5 days ago Senior ML Engineer - LLM Applications (Remote - United Kingdom) Birmingham, England, United Kingdom 2 weeks ago Birmingham, England, United Kingdom 2 weeks ago Birmingham, England, United Kingdom More ❯
Coventry, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: MachineLearning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next MachineLearning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the … position for you! This MachineLearning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machinelearning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯
Shrewsbury, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: MachineLearning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next MachineLearning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the … position for you! This MachineLearning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machinelearning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯
Wolverhampton, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: MachineLearning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next MachineLearning Engineering role? Do you want … to be a part of an exciting and hard-working team? This may be the position for you! This MachineLearning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machinelearning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯
skilled MachineLearning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven solutions to join our innovation team. This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution … visualisation through the integration of machinelearning and AI. Key Responsibilities Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection). Build AI tools to automate BIM modelling tasks, such as feature extraction, geometry reconstruction, and data labeling. Collaborate … LiDAR data. Contribute to the continuous improvement of our Scan2BIM workflows through research, prototyping, and tool development. Ensure scalability and robustness of AI/ML pipelines in production environments. Stay current with advances in 3D computer vision, BIM automation, and AI in construction technology. Required Skills & Experience Proven experience with More ❯
Are you a data-driven problem solver with expertise in machinelearning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machinelearning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machinelearning applications into production. Contributing to our machinelearning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯
making the most fun games for the world's players. Join the team! As we continue to grow, we are now looking for a MachineLearning Engineer to join our Data & Engineering team. As a MachineLearning Engineer, you will be responsible for developing and optimising … models in scalable products. Requirements: A few years of industry experience deploying production machinelearning models. Strong background in training and deploying ML models in real-world applications. Experience in marketing-related domains or similar data-driven industries. Proficiency in cloud-based ML tools and platforms such as … AWS SageMaker, Google Vertex AI, Fabric, or MLOps frameworks. Hands-on experience with Python, TensorFlow, PyTorch, or similar ML frameworks. Why Kwalee? We believe in more than just a job—we’re committed to helping you thrive with a fantastic work-life balance and a range of great benefits! You More ❯
to join our growing Glasgow-based team. This is a chance to be part of a fast-moving, forward-thinking company applying AI and ML to complex operational challenges—making work faster, smarter, and more valuable. What You’ll Do: Develop, train, and deploy machinelearning models to … data to create predictive and prescriptive insights Collaborate with analysts, developers, and client-facing teams to deliver impactful solutions Help shape and evolve the ML capabilities of the business, with a focus on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machinelearning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree More ❯
join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a MachineLearning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You … won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. MachineLearning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for … optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. MachineLearning Engineer Key Skills Required: Comprehensive understanding of the full machinelearning lifecycle, from development to production. Experience deploying machineMore ❯
join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a MachineLearning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You … won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. MachineLearning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for … optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. MachineLearning Engineer Key Skills Required: Comprehensive understanding of the full machinelearning lifecycle, from development to production. Experience deploying machineMore ❯
and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯
and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯
and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯
and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯
skilled MachineLearning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven solutions to join our innovation team. This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution … visualisation through the integration of machinelearning and AI. Key Responsibilities Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection). Build AI tools to automate BIM modelling tasks, such as feature extraction, geometry reconstruction, and data labeling. Collaborate … LiDAR data. Contribute to the continuous improvement of our Scan2BIM workflows through research, prototyping, and tool development. Ensure scalability and robustness of AI/ML pipelines in production environments. Stay current with advances in 3D computer vision, BIM automation, and AI in construction technology. Required Skills & Experience Proven experience with More ❯