876 to 900 of 1,526 Machine Learning Jobs

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. Working with customers worldwide we help turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we're looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We are continuing ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the 'heavy lifting' building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state … optimize its serving, and ensure it runs reliably in production. Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. ...

Duration: 6+ Months About the Role We are looking for an engineer who is genuinely excited about AI - not someone who tolerates it as a tool, but someone who wakes up thinking about what they ...

time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that … more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed ...

engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply ...

maintaining AI and machine learning models Support data collection, cleaning, labeling, and basic analysis Help implement AI solutions using Python and common ML libraries Participate in model evaluation, performance monitoring, and documentation Collaborate with cross-functional teams on AI-driven projects Learn and apply best practices in data ...

engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies … retail to improve pricing and margins Supporting large-scale programmes across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment ...

integration framework. - Teamcenter Knowledge: Experience consuming Teamcenter SOA (Service Oriented Architecture) and understanding the Teamcenter Data Model. - AI/Automation: Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the resolution of data conditions and discrepancies. Middleware … extract data from Teamcenter (via SOA/Middle Layer) and import it into 3DEXPERIENCE. - AI-Driven Data Quality: Develop and implement AI/Machine Learning models or logic-based automation to detect, categorize, and auto-correct data discrepancies between the source and target systems. - 3DX Integration: Utilize XPDM ...

impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with … engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab ...

Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect … wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services … permanent role. You’re not a contractor - you’re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing ...

hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

Agentic AI/Machine Learning Scientist London (Hybrid) | Outside IR35 Contract We're Looking for AI Builders, Not AI Experimenters Join a major AI programme delivering production-grade Agentic AI and LLM solutions at scale. This role is focused on building intelligent systems that solve real business problems ...

areas for improvement. Develop dashboards and data visualizations using business intelligence tools to support decision-making and communicate statistical findings. Apply statistical and machine learning models to support forecasting, hypothesis testing, and behavioral analysis. Clean, transform, and standardize datasets for accurate and consistent statistical analysis. Design and evaluate ...

leadership, including acting as a key partner to the Director of AI Y our Skills and Experience * Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background * Proven experience building and deploying LLM based applications in production environments * Experience working with cloud ...

into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

Strong software engineering background Deep backend experience, ideally with Python and/or Node.js Experience with LLMs, RAG, agents, workflow automation, or applied machine learning Ability to think in systems, not just isolated features Comfort integrating with APIs, databases, enterprise platforms, and third-party tools Strong communication skills ...

with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills Desirable experience Exposure to AI/Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...