1 to 25 of 154 Machine Learning Jobs in Woking

Social network you want to login/join with: Senior Machine Learning Engineer, Woking Location: Woking, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 7 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description: Senior Machine Learning Engineer Salary: Up to £100,000 Location … technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be developing and implementing machine learning models to optimize the platform’s performance. You’ll collaborate with … a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto More ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to … work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. … Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid More ❯

complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

in the office. *****Paying up to £30,000 basic***** IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & August Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools. An exciting AI company in … range of machine learning techniques suitable for various data shapes and types. Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement. Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets. Assist … Concept (PoC) projects by analysing data outputs and assessing model performance. Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences. Contribute to automation of data analysis workflows to streamline reporting and validation processes. Note: The job posting appears More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

Role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As … development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer More ❯

Social network you want to login/join with: Senior Digital FPGA Engineer - IP/Machine Learning in job available in Cambridge, Cambridgeshire Cambridge based business in the technology hub of the UK Rare opportunity to be part of a leading Machine Learning/AI technology … business Fantastic benefits package and salaries on offer, including hybrid working (3 days on site, 2 at home) A leading machine learning business involved in developing incredible financial industry technology are seeking skilled Senior Digital Design and FPGA Engineers to join their HQ in Cambridge. This company offers … investment into new innovation. As a Senior Digital FPGA Engineer you will develop FPGA's using SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency/high-throughput applications. What skills and experience is required: FPGA Design, development and testing experience More ❯

early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape … paced, high-performance environment. ? What You’ll Do Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. … Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking More ❯

Social network you want to login/join with: Synechron is looking for a Senior Data Scientist/ML Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The roles primary responsibility is to extract actionable … insights from complex data. Using advanced statistical analysis, machine learning, and data modeling, you will support strategic decision-making across the organisation. Role: Develop and implement machine learning models and algorithms Extract meaningful insights from large, complex datasets Deploy and maintain models using MLOps best practices … Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skilled More ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

to join our growing Glasgow-based team. This is a chance to be part of a fast-moving, forward-thinking company applying AI and ML to complex operational challenges—making work faster, smarter, and more valuable. What You’ll Do: Develop, train, and deploy machine learning models to … data to create predictive and prescriptive insights Collaborate with analysts, developers, and client-facing teams to deliver impactful solutions Help shape and evolve the ML capabilities of the business, with a focus on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

Social network you want to login/join with: Data Science & Machine Learning – Elite Talent Wanted, woking col-narrow-left Client: Location: woking, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description … Data Science & Machine Learning – Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting … , or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What More ❯

months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyze immune profiles Contribute to modeling projects using ML to identify immune signatures of disease or treatment outcomes Support internal tools connecting lab outputs, data cleaning, and model-ready datasets Collaborate with scientists and lab … as model validation, ontologies, or scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering, preferably in life sciences or health data Write clean, reproducible Python and understand workflow tools like Kedro, Dagster, or similar platforms Have built and … evaluated ML models for real-world use cases, especially classification or regression with limited samples Are excited by biological complexity and respect its nuances Think in systems: refactor, generalize, and improve existing code and processes Care about scientific rigor, traceability, and experimental design Bonus Skills (not required): Experience with flow More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges … organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify … and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. More ❯

Senior Data Engineer – ML, Azure Salary £70 - £80k + Benefits + Hybrid working We are looking for an experienced Data Engineer to join a growing SaaS business investing in Data decision making as they expand their product offering. Their products provide a positive social impact to a massive customer base … to the products they develop are welcomed. The Senior Data engineer will play a key role in the development and implementation of data and machine learning algorithms to facilitate new product design and shape relevant decision making across the business. This company offer flexible hybrid working with … per week in their offices, which are commutable from Woking, Farnborough, Crawley areas. Required skills and technologies 5+ years’ experience in a Data Engineering, Machine Learning, or similar role using Python Microsoft environments and the Azure platform – Azure Data pipelines, Azure Machine Learning, Azure Data Factory More ❯

automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear … actionable insights that power better outcomes. Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to … Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into More ❯

uncovering patterns, trends, and insights that can drive strategic decision-making and innovation within the organisation In addition, you will apply advanced analytical techniques, machine learning, and statistical methods to solve business problems and improve operational efficiency You will produce insight generation by identifying patterns and trends in … to maximise business impact What Makes You Great You are proficient in programming languages such as Python, R, or SQL, and have experience with machine learning frameworks and data visualization tools (e.g., Tableau, Power BI) A minimum of 2 years of industry experience in data science or a … related field, including experience in building and deploying machine learning models In addition, you hold a Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, with certifications in relevant technologies being a plus You have excellent analytical and problem-solving skills, with the ability More ❯

a skilled Data Scientist to help our client build cutting-edge models in the sports betting industry. This role sits at the crossroads of machine learning, software engineering, data science, and mathematics—perfect for someone who thrives on innovation and complex challenges. The role is based in Costa … Rica. What You’ll Be Doing: Develop, structure, and maintain robust datasets tailored for machine learning workflows. Create and deploy high-performance algorithms and predictive models to support our sports modeling initiatives. Collaborate with a team of data scientists, developers, and domain experts to solve real-world problems … and optimize outcomes. What You Bring: Proven experience working with machine learning techniques, particularly neural networks. Strong background in Python programming (Matlab is a plus). Solid understanding of data preparation, including feature engineering and transformation. Professional fluency in English, both written and spoken. A passion for building More ❯

record check (known as Disclosure and Barring Service). Your Role We are looking for individuals with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, to design and build scalable solutions. You … emphasizing diversity and inclusion as part of our daily culture. Your Skills and Experience Proficiency in various AI techniques such as supervised/unsupervised machine learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present complex work compellingly to clients and manage More ❯

established tech company is building out its next generation of intelligent software products and is looking for a highly experienced Staff-level AI/ML Engineer to lead hands-on development of machine learning systems. This is a deeply technical role focused on applied AI, not management or … from the ground up, this role offers the opportunity to shape something new in a growing, fast-paced environment. Key Responsibilities End-to-End ML Development Own the full lifecycle of machine learning initiatives — from idea to deployment and monitoring. Hands-On System Design Architect scalable, reliable ML … Reliability Solve practical challenges like data quality, explainability, and robust infrastructure for ML. What You’ll Bring 7+ years of hands-on experience building ML/AI systems in production. 3+ years in a senior technical contributor or team lead role. Advanced Python skills with exposure to common ML frameworks More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯