101 to 125 of 636 Remote Machine Learning Jobs

Faculty in Greater London is seeking a Machine Learning Engineer to deliver impactful AI solutions for their diverse clients. You will be instrumental in bringing machine learning out of the lab and defining best practices in a collaborative environment. The ideal candidate has strong Python skills … experience with cloud platforms, and the ability to operationalise machine learning models. Faculty offers a hybrid working model and unlimited annual leave. #J-18808-Ljbffr ...

Consulting Engineer (Senior/Lead) Generative AI, Python, Infrastructure, PyTorch, TensorFlow, LLMs, Machine Learning, Agentic Systems, Cloud, Consulting, Solutions Engineering, Remote (UK) Very Attractive Salary + Benefits This is a fantastic AI Consulting Engineer (Senior/Lead) opportunity to work with a leading technology services organisation, driving … Sales and Product teams. Key Skills as AI Consulting Engineer (Senior/Lead): 3+ years experience in software engineering, ideally focused on AI/ML development. Excellent programming knowledge in Python and/or JavaScript. Experience using ML libraries/frameworks such as PyTorch, TensorFlow, etc. Experience building LLMs ...

responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development of a new Data Science platform and helping … Nice to have: Exposure to cloud platforms such as GCP or Azure Experience with model deployment tools such as Vertex AI or Azure ML Any background in customer analytics, forecasting or personalisation What They Offer Salary of £45,000 to £48,000 Hybrid working, with three days per week ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments.* Design, build, and deploy machine learning models within Pega-based decisioning platforms.* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational ...

products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity ·You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with … product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. ·You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. ·The environment is modern and cloud based, with exposure to technologies ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

Cambridge University Press in Cambridge is seeking a Machine Learning Research Engineer to develop and enhance AI-powered solutions for educational products. This role requires a Master’s degree and 2+ years of industry experience. Your responsibilities will include collaborating with cross-functional teams to optimize machine learning models, ensuring they meet user needs while staying at the forefront of AI innovation. This permanent position offers a hybrid work model and various benefits including private medical insurance and a discretionary annual bonus. #J-18808-Ljbffr ...

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireLead Data Scientist (Model Developer)/Deep Learning PractitionerAbout this roleOur Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireLead Data Scientist (Model Developer)/Deep Learning PractitionerAbout this roleOur Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

looking for a Data Scientist to design, build, and deploy production-ready statistical and machine learning models that power advanced analytics. You'll work across a multidisciplinary team to deliver scalable, interpretable solutions using Python and robust modelling techniques . Client Details Our client is a globally recognised … strategic decision-making in complex and evolving markets. Description Develop and deploy production-level code and scalable data pipelines Build and optimise statistical and machine learning models for risk and analytics use cases Work extensively in Python to analyse large, complex datasets Extract insights from both structured ...

drive both client impact and team growth About the role In this role you will shape and deliver the data science agenda ensuring machine learning and analytics solutions are not only technically robust but deliver real measurable business outcomes for clients. You will sit at the intersection … proposals and engaging with clients Partner with delivery teams and engagement managers to establish consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth ...

Project Manager (Contract) – AI/Machine Learning Programme Hybrid (London, 2–3 days onsite) Up to £585/day (Inside IR35) Contract until March 2027 (likely extension) Start: ASAP Overview We’re seeking an experienced Project Manager to support the delivery of a machine learning proof … role to grow into wider AI transformation initiatives . What You’ll Be Doing Coordinate multiple stakeholder groups across diverse departments Manage integration between ML models and existing enterprise platforms Work with operational KPIs and dashboards at scale across a nationwide network Bring structure and clarity to environments where requirements ...

propose and deliver across our rapidly growing Financial Services Business unit. This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for clients across banking, insurance … other media Who we're looking for: You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector You have experience ...

pivotal role in defining how some of the UK's largest organisations adopt and scale AI. From Generative AI and autonomous agents to machine learning and enterprise data platforms, you'll be at the forefront of designing solutions that move beyond proof-of-concepts into real-world impact. … architecture of complex AI solutions, working across discovery, design, implementation and scale. Lead the architecture of enterprise AI, Generative AI and Machine Learning solutions Design intelligent agent frameworks and next-generation AI-powered applications Define AI governance, security and Responsible AI standards Advise executive stakeholders on AI strategy ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

ML Engineer (Stealth AI Company) About the company We are building a foundational intelligence platform that transforms fragmented, proprietary information into durable institutional intelligence - enabling organisations to reason faster, preserve context, and compound knowledge over time. We are starting with information-dense, judgment-heavy industries where decision-making under uncertainty … organisational knowledge evolves We are intentionally not: a workflow automation tool a chat UI on top of documents a standalone 'knowledge graph product' Graphs, ML, probabilistic reasoning, and human-in-the-loop systems are combined to solve a larger problem: How can organisations reason reliably over their own information ...

actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance optimisation Collaborating cross-functionally with data scientists, product managers … Python proficiency (async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation ...

span across different disciplines and technologies to perform real‐time, multi‐objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except ...

span across different disciplines and technologies to perform real‐time, multi‐objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except ...

About the Company Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning . Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science … join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production . This role is suited to a well-rounded Senior/Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series ...

PEOPLE in Oxford is looking for a Machine Learning Engineer to join their innovative ML Team. In this role, you will be responsible for developing and integrating machine learning and deep learning models into real-time gaming environments, collaborating with cross-disciplinary teams, and mentoring ...

solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the Role In this role, you will contribute to the Ads Auction and Marketplace systems that optimize yield, gross profit, and real-time multi-objective outcomes across ...

national/sole British citizens and resided in the UK for 5 years or over. Key Responsibilities Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch. Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe. Familiarity with … ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines. Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem‐solving skills and ability to work independently or in a team. Collaborate with cross‐functional teams to integrate AI solutions ...