1 to 25 of 33 Machine Learning Jobs in Hertfordshire

to shape the future of antigen discovery in a cutting-edge biotech environment. You'll play a key role in the development of unsupervised machine learning models using transcriptomic datasets to support target identification and product development. As the team grows, this position offers a clear path into … leadershiP, ideal for someone ready to expand their impact both scientifically and strategically. Key Responsibilities: Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction Support internal … ideally within immunology or oncology Hands-on expertise in Python and/or R, and familiarity with common bioinformatics workflows Track record of developing ML-based models, in an unsupervised context Excellent problem-solving, communication and collaboration skills Experience in a biotech or translational research setting is highly desirable More ❯

to shape the future of antigen discovery in a cutting-edge biotech environment. You'll play a key role in the development of unsupervised machine learning models using transcriptomic datasets to support target identification and product development. As the team grows, this position offers a clear path into … leadershiP, ideal for someone ready to expand their impact both scientifically and strategically. Key Responsibilities: Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction Support internal … ideally within immunology or oncology Hands-on expertise in Python and/or R, and familiarity with common bioinformatics workflows Track record of developing ML-based models, in an unsupervised context Excellent problem-solving, communication and collaboration skills Experience in a biotech or translational research setting is highly desirable More ❯

content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and … particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural … networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning … and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full … range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

for an experienced AI Recruiter with a focus on the U.S. Market. You will have the opportunity to work across any of these verticals; Machine Learning, Computer Vision, Blockchain , Data Science or NLP. Here's an overview: We have over 500,000 people as part of our global … strong client relationships across the AI Market. Identify and capitalise on new business opportunities across the U.S. Source and place senior-level candidates such Machine Learning and Computer Vision Engineers. Stay informed about industry trends and market dynamics to effectively engage clients. Manage relationships with senior individuals in More ❯

for an experienced AI Recruiter with a focus on the U.S. Market. You will have the opportunity to work across any of these verticals; Machine Learning, Computer Vision, Blockchain , Data Science or NLP. Here's an overview: We have over 500,000 people as part of our global … strong client relationships across the AI Market. Identify and capitalise on new business opportunities across the U.S. Source and place senior-level candidates such Machine Learning and Computer Vision Engineers. Stay informed about industry trends and market dynamics to effectively engage clients. Manage relationships with senior individuals in More ❯

for an experienced AI Recruiter with a focus on the U.S market. You will have the opportunity to work across any of these verticals; Machine Learning, Computer Vision, Blockchain , Data Science or NLP. Here's an overview: We have over 500,000 people as part of our global … strong client relationships across the AI Market. Identify and capitalise on new business opportunities across the U.S. Source and place senior-level candidates such Machine Learning and Computer Vision Engineers. Stay informed about industry trends and market dynamics to effectively engage clients. Manage relationships with senior individuals in More ❯

a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing … productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and … products (platform, application, pipelines) to meet the customer needs. You will partner closely with the leaders of Onyx's customer organizations, including AI/ML, Data Science, Target Discovery, Omics Technology, and various R&D teams utilizing data to accelerate drug discovery, along with the Onyx portfolio management and engineering More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

accelerate the impact of our new world class structural biology facilities. This role provides opportunities to integrate advances in prediction, modelling and AI/ML by collaborating with departments at GSK, enhancing the speed and success of drug discovery. The initial focus will be on CryoEM data processing with the More ❯

in data science and predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity, and reducing time … spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at … Infrastructure platforms to meet the customer needs. You will partner closely with the leaders of Onyx's engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading DevOps More ❯

preferably Java, possibly C#, C++ or similar; demonstrated not just through university coursework but through extensive personal projects or internships) Extensive practical experience in machine learning or AI A strong grasp of modern software engineering practices A grades at A-level (or equivalent) Full right to work without … with ease of use. As the company looks to the future, they are seeking to further improve its capabilities by harnessing technologies such as machine learning. Culturally, the company emphasises creativity and ingenuity, and strives to minimize bureaucracy, so you'll be free here to focus on the engineering More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

development Knowledge of RF systems and digital signal processing Familiarity with model verification, configuration control, and release processes Understanding of Continuous Integration and Testing, Machine Learning, and AI More ❯

development Knowledge of RF systems and digital signal processing Familiarity with model verification, configuration control, and release processes Understanding of Continuous Integration and Testing, Machine Learning, and AI More ❯