1 to 25 of 63 Machine Learning Jobs in Slough

will be responsible for developing novel generative models aimed at creating functional proteins validated in laboratory settings. Who You Are You are an experienced ML researcher with a strong background in generative modeling. You have contributed substantially to major machine learning efforts—such as open-source libraries, significant … product deployments, or impactful scientific publications. You are an effective ML engineer. You write maintainable, well-tested code, use modern development workflows, and are equally comfortable rapid-prototyping and producing high-quality production systems. You have experience training and running large-scale models on cloud or distributed hardware. You have ...

researchers in the AiTASHA consortium. Your Profile We are looking for a highly skilled Senior Research Associate to conduct internationally leading research in machine learning, with applications to intelligence analysis. This will involve investigating and developing methods that will allow deep learning models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building on existing methods in ML explainability, interpretability, and uncertainty quantification. The successful candidate will have a PhD (or equivalent professional experience and/or qualification) in a field with significant ...

from you! Key Responsibilities Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/… stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using ...

Learning solutions across different business functions; for example; predictive reserving, claims forecasting, capital optimisation, portfolio risk, and operational efficiency, leveraging end-to-end ML architectures spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation ...

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company's AI initiatives, driving the technical … LLMs, agents, and related fields, converting research insights into actionable roadmap items. Qualifications Deep LLM/Generative AI Expertise 7+ years in AI/ML with 3+ years focused on LLMs, generative AI, and agent systems, including hands-on experience with transformer architectures, fine-tuning, and production deployments. Proven Product ...

closely with a cross functional team to bring breakthrough AI capabilities directly into the Mural experience. What You'll Do Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features. Build and maintain scalable data pipelines to collect high-quality training and evaluation … 5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval ...

Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas … conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master's/Graduate Degree in Computer Science, Machine ...

SENIOR ML ENGINEER/LONDON/£120,000 BASE SALARY Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? I'm looking for an experienced Machine Learning Engineer to join a growing business who are going more … holiday plus bank holiday Flexible, hybrid working from central London And much more What do we need from you? PyTorch, Python, understanding of the machine learning ecosystem AWS ETL processes Good understanding of vector databases (they use open search) Proven experience using LLMs through APIs Sound like ...

challenges with bold ideas and optimism. To achieve our mission, we focus, among other things, on building novel AI solutions, from GenAI to classical ML, tapping into our rich datasets, to drive growth and increase revenue for our brands. Our users include the newsroom editors, marketing, advertising and product teams … models into production, ensuring scalability, monitoring, and performance. Develop modular and reproducible code with production-grade quality, focusing on MLOps best practices. Collaborate with ML Engineers to optimise model deployment on distributed or cloud platforms like Google Cloud. General Data Science Responsibilities Design and prototype robust machine learning ...

high-impact business challenges and deliver data-driven solutions. Conduct data analysis, interpret results, and provide actionable recommendations. Build predictive models using statistical and machine learning techniques to improve efficiency and performance. Collaborate with stakeholders to identify opportunities and support data-driven strategies. Mentor and guide junior team … members on analysis, machine learning, and best practices. Stay up to date with industry trends and emerging technologies, assessing their impact on NGED's analytics initiatives. Communicate effectively across NGED and externally to ensure timely delivery of insights. Ensure solutions align with data governance standards and emerging processes. ...

Lead Data Scientist, you will play a pivotal role in driving excellence for business optimisation! You will harness advanced analytical techniques and machine learning expertise to extract valuable insights from complex datasets. You will embed sophisticated data science techniques inside critical applications (such as pricing, yield etc). … Python, possibly R for prototyping, SQL, and specialist tools such as Pandas, NumPy, Spark, and Dask; hands-on experience with cloud platforms (Azure ML, AWS) and ML Ops for robust model deployment and automation. CI/CD pipelines experience is advantageous. Ethical and Secure Data Stewardship: Extensive knowledge of data ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays. $10,000 annual charitable donation matching. Requirements 5 years of ML experience Strong proficiency in Python and common ML libraries Solid theoretical foundation in stats and ML. Experience working with voice agents Proven hands-on experience … building with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning, etc.). Experience taking ML models from prototype to production and care deeply about reliability, performance, and scalability. Fluent in English, (bilingual in French is a big bonus!) You might be a good fit if you Are comfortable ...

analytics. • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business … interfaces. • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical ...

with live strategies. Research Enablement & Platform Engineering Develop and optimize the platforms that power quantitative research across the firm. This may include scalable APIs, machine learning and data pipelines, orchestration frameworks, and shared infrastructure that accelerates research and experimentation. Collaborate closely with researchers to create efficient, reliable … enabling performance evaluation, risk monitoring, and investment oversight. Combine strong data processing and visualization skills with scalable infrastructure, and explore opportunities to integrate applied machine learning for deeper insights. Core Trading Systems (London only) Build and maintain the infrastructure supporting the development, testing, and deployment of trading signals ...

Experts) Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $105/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities: Critically evaluate machine learning and artificial intelligence research papers for methodological rigor, novelty, and clarity. Inspect Python source code, experimental pipelines, and experiment logs to validate … research studies. Requirements: Strong experience in artificial intelligence, machine learning, or closely related research domains. Demonstrated ability to read, interpret, and evaluate ML research papers and technical methodologies. Comfort reviewing Python code, experimental workflows, and quantitative logs. Experience conducting academic literature reviews and assessing research originality. High attention ...

more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( Joybuy is JD.com's European full-category online retail brand designed to bring customers ...

unstructured data. Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization. Data/ML Operations: Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments. … Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints. Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs). GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Why join us? Become part ...

cloud infrastructure like Azure, AWS, or GCP. Preferred Qualifications Experience with LLM training clusters. Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex … teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft ...

onsite | £80,000 + benefits Overview A major customer-focused organisation is expanding its AI capabilities and is building out two key streams: Traditional ML/Data Science A new and rapidly growing AI function This role sits within the AI stream, operating alongside one existing AI specialist … insights and model outputs. Lead and contribute to the development of evaluation frameworks to measure AI and LLM performance. Operate between AI engineering, ML engineering, and data science teams, helping define and influence wider AI strategy. Collaborate with product, technical, and commercial stakeholders to deliver high-impact AI solutions. Tech ...

industry knowledge of key financial crime risks, screening systems and associated data, including lists and screening platforms provided by industry vendors Experience of utilizing Machine Learning and Artificial Intelligence in financial crime scenarios. Experience with data and the ability to clearly articulate data requirements as they relate … your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer ...

they impact AI governance and data handling. Cloud Technologies & AI Capabilities: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings, understanding how these support AI development and deployment. Risk Mitigation & Tracking: Ability to develop and monitor risk mitigation plans, report on progress, and ensure ...

full UiPath product suite (Studio, Document Understanding, AI Center, Agent Builder). Develop intelligent workflows that include data extraction (structured, semi-structured, unstructured), machine learning models, decisioning and exception handling. Integrate automations with APIs, internal systems, SaaS platforms, and legacy applications. Ensure delivered solutions are modular, reusable, secure … deployment pipelines. Experience with APIs, web automation, Excel/data manipulation, JSON/XML, and integrating with third-party systems. Understanding of AI/ML concepts and confidence working with model inputs, outputs and retraining cycles. Experience with Git-based version control and CI/CD pipelines is desirable. Delivery ...