76 to 100 of 588 Remote/Hybrid Machine Learning Jobs

Building models scientists can trust. Cells contain real biological structure: metabolism, regulation, signalling, transport, and stress responses. How do we combine this knowledge with ML to build models that are predictive and biologically meaningful? Guiding better experiments. Useful models should help scientists understand uncertainty, compare hypotheses, and decide what … systems-oriented discipline. You should have strong foundations in one or more of: applied mathematics, statistics, optimisation, probabilistic modelling, causal inference, dynamical systems, scientific ML, or related areas. You may also be an exceptional applied ML engineer without a PhD, with a track record of building models for complex real ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel … office The Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground ...

innovation. They tackle some of the most complex business challenges across various domains, including customer experience, supply chain, marketing, and technology. By applying advanced machine learning techniques, generative AI, and large language models, they enhance pricing strategies, optimize store operations, and personalize customer interactions. This is a collaborative … environment where team members rotate across different domains, expanding their skills and impact. As a Data Scientist, you will: Develop and deploy machine learning solutions that enhance decision-making and improve customer service. Design and implement robust models while experimenting with new approaches.. This includes building data pipelines ...

specialist for machine learning and GenAI. Working closely with data engineering, analytics, QA and product, you will build the foundations for scalable ML and AI use cases across the organisation. Key responsibilities include: Owning and delivering end-to-end ML and GenAI solutions, from data preparation through … production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting ...

will play a key part in enabling that shift, ensuring the data platform is structured in a way that supports more advanced analytics and machine learning use cases over time. Data is a critical, funded investment area for the business, with backing already in place and a clear … both regulatory and product needs. As the platform matures, you’ll also help enable more advanced capabilities, including predictive modelling, scenario optimisation, and machine learning use cases, ensuring the data foundations are built to support them properly. What You’ll Be Doing In the early stages ...

continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative … lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from ...

applied machine learning solutions that power far-field voice experiences across connected devices and cloud platforms. Design, develop, train, and optimise scalable ML models for far-field voice detection, verification, and enhancement across device and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal … processing, ASR, NLP, and machine learning. Build cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency ...

seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers across small research projects and larger multi-disciplinary development programmes Providing technical expertise …/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers and providing technical guidance Supporting business development through technical bidding activities and early ...

remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways … maintain backend inference systems that meet the latency and quality demands of professional audio workflows Collaborate with product and engineering teams to implement ML research in commercial products Work with the product owner to identify where ML creates the most value for customers Clearly and effectively communicate ML concepts, model ...

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: £110,000 - £125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They … solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction ...

Experience with high-performance computing (HPC) in Unix/Linux environments or cloud platforms (e.g., AWS). Hands-on experience in data science and machine learning. Working knowledge of biochemistry and/or chemistry. Nice to Have Experience in pharmaceutical early drug discovery research. Exposure to advanced machine learning applications, especially in drug discovery contexts. Experience developing large-scale chemical foundation models, virtual screening models, or protein structure prediction models. Responsibilities As a Data Scientist within the Quantitative Biosciences team, you will: Develop machine learning and deep learning workflows to support novel drug ...

defence environments. This is an opportunity to work at the cutting edge of data science, focusing on GenAI, large language models, and cloud-based ML deployments, while also taking on leadership responsibilities within a growing team. Role Responsibilities Lead day-to-day technical delivery across data science and ML projects … data governance and security best practices Desirable Skills Experience using GPUs in cloud environments Knowledge of MLOps, CI/CD pipelines, and monitoring ML models Experience building APIs and working with modern DevOps practices Eligibility Requirements Due to the nature of the work, candidates must: Hold active DV clearance ...

Data Scientist – Media - London - up to £85k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded ML scientists … work with zero red tape to create practical solutions that actually work. We’re looking for a Data Scientist who has experience developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. Who are we? We’re one of the UK’s largest media ...

Senior Data Scientist – Media - London - up to £110k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded ML … work with zero red tape to create practical solutions that actually work. We’re looking for a Senior Data Scientist who has experience developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. Who are we? We’re one of the UK’s largest ...

Cloud/AI/ML/Transformation/Agile Role: Project Manager (Contract) - AI/Machine Learning Programme Day Rate: Up to 585 a day (Inside IR35) Contract Length: Until March 2027 (extension likely) Location: Hybrid - 2-3 days per week onsite (London) Start: ASAP Overview … looking for an experienced Project Manager to support the delivery of a machine learning proof-of-concept within a large-scale operational environment. This is a high-impact role focused on stakeholder coordination, system integration, and delivery of AI-driven insights, with strong potential to expand into broader ...

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 … performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML/DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference ...

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 … performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML/DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will lead the development and delivery … roles within a commercial environment Strong proficiency in Python and SQL Hands-on experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear ...

optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise … platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure ...

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireData Scientist/Statistician (Model Developer)About this roleOur Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group … with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit ...

House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist/Statistician (Model Developer) About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group … with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit ...

search experience possible and building world-class job recommendation systems. Youll be working in a small team alongside colleagues with skills in different disciplines - learning from them and also sharing your data science expertise. We are constantly pushing the boundaries of what's possible in the HR tech space. … innovative, cutting-edge projects such as automated search-and-apply tools. Previously weve used our archive of over 4.5bn job vacancies to build proprietary ML models to estimate salaries from job descriptions () and also for CVs and resumes (). What You'll Do AI & Product Innovation Design, build, and deploy ...

machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making. The business have 4-6 ML models in production, one of which is an award-winning. Generally these models are in the finance and risk areas - any experience of this would … Responsibilities: Develop, test, and maintain data science solutions using Python Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities Apply statistical and machine learning techniques to address business questions Use segmentation and clustering techniques where appropriate to support insight generation Interpret model results and communicate insights ...