51 to 75 of 456 Remote/Hybrid Machine Learning Jobs

prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving … mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/ ...

operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: Design and build machine learning models to forecast … closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling Experience building and deploying models used in real world decision making (e.g. ...

Research & Community Technology Team 📍 Cambridge area (Hybrid working available) We are partnering with an interdisciplinary research team working at the intersection of artificial intelligence, machine learning, and community‐centred technology design. Work explores how communities can meaningfully contribute to the development, evaluation, and oversight of AI systems. Details … improve delivery pace and code quality. Maintain solid engineering standards, including testing, documentation, and general codebase health. Qualifications and Experience: PhD in computer science, machine learning, software engineering, or a related field, or equivalent industry or applied research experience. Strong software engineering skills in Python, with experience building ...

company works with large-scale datasets across industries and focuses on delivering high-quality data annotation, curation, and analytics services that enable advanced machine learning and generative AI applications. About the Role The Music Annotator will support AI training initiatives by evaluating and describing musical audio with … instrumentation, sonic textures, and overall mood. Working remotely, the analyst will annotate audio at scale while maintaining strict quality and metadata standards required for machine learning datasets. This position requires strong listening skills, the ability to articulate musical elements clearly in writing, and the discipline to work efficiently ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator. The Role … with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making. Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy. Helping the business prioritise where data science delivers ...

Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data … work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across ...

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

Scientist, you will become a key part of Data Platform Team to play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production‐grade systems. Your work will be held to the scrutiny of energy analysts, traders, operations teams, and regulatory stakeholders, and must meet … contributor capable of leading complex projects across Data Science, Machine Learning, and AI, including hands‐on work building and deploying production‐grade ML models, Deeply grounded in the theoretical and mathematical foundations of ML/AI and well‐versed in current research and emerging methodologies, PhD‐educated ...

beyond proof-of-concept into scalable, production-ready systems. Key responsibilities include: Designing hypothesis-driven research frameworks and simulation environments Developing advanced statistical and machine learning models to solve multi-objective optimisation problems Contributing to model orchestration, synthetic data generation and probabilistic matching frameworks Evaluating model trade-offs … experience, with a focus on reproducibility Hands-on Python and SQL skills Experience working in big-data and cloud-native environments (Spark, Databricks, Azure ML or similar) Understanding of governance, model explainability and ethical AI considerations The ability to communicate complex ideas to technical and non-technical stakeholders Experience within ...

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables … growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

Position: Gen AI Lead With Python Location: London, UK (Hybrid 2 days onsite a week) Duration: Full Time Job Description: Core AI/ML Foundations: o Strong foundational knowledge in GenAI, Machine Learning (ML modelling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands‐on experience in customer behaviour analytics, marketing, commercial … Experience leading cross‐functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience ...

Objectives •Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. •Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. •Translate analytical findings into clear, actionable insights that drive strategic decisions. •Embed data science … predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining, statistical modelling, and machine learning techniques. •Advanced experience in pattern recognition, predictive modelling, and feature engineering. •Proficiency in Python and SQL, and a solid grasp of software ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

data science lifecycle; shaping problems, exploring data, experimenting with models, and deploying real solutions that drive real outcomes. You’ll be: • Building and deploying machine learning models used directly in live products (e.g., anomaly detection, forecasting, clustering, recommendation) • Working hands-on with large, messy, real-world datasets … need to tick every box, but you should recognise yourself in most of these: • Strong skills in Python or R • Experience with ML frameworks such as Scikit‐learn, TensorFlow, PyTorch • A solid understanding of machine learning, statistics, and modelling best practice • Competence with SQL and real‐world, imperfect ...

Kubernetes. and, ideally, some MLOps skills. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...

Kubernetes. and, ideally, some MLOps skills. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...

Kubernetes. and, ideally, some MLOps skills. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...

Kubernetes. and, ideally, some MLOps skills. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...

Kubernetes. and, ideally, some MLOps skills. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...