1 to 25 of 241 Machine Learning Jobs in the South East

methodologies. Familiarity with Software Development or Systems Engineering standards. Experienced in overseeing software Secure Development and Operations (DevSecOps). Proficient in Artificial Intelligence and Machine Learning applications. Competent in Requirements Management and possessing familiarity with relational databases. Established in Didsbury, Connexa Technology Ltd is becoming one of the more »

Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … the ecosystem of biomedical and/or clinical data resources Knowledge of human genetics, genomics, and/or drug discovery - or are interested in learning about these topics. Experience working with knowledge graphs (e.g., https://biocypher.org) and graph databases (e.g., Neo4j). Experience leveraging embeddings derived from … graph-based representations and/or machine learning. Experience building high-quality software and making frequent deployments as part of a regular software release process. Experience working with infrastructure-as-code, continuous integration, containers, Cloud infrastructure, and deployment. Interest in promoting your work and the ways we have solved more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilising machine learning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience … in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution. As an employee of UKAEA you will benefit from: - Outstanding defined benefit pension scheme, details of which can be found at the end of this more »

proven foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. Responsibilities Daily Evaluation : assess support tickets related to Machine Learning models/algorithms developed by the Data Science team. Monitoring and Maintenance : lead all aspects of alerts to ensure the ecosystem's … to-day operations and performance. Data Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution. Analytics and Machine Learning : run analytics to extract statistics, patterns, and eventually craft machine learning models to improve existing technologies. Work closely with the …/wrangling, analysis, and reporting. Strong proficiency in SQL, with the ability to read, write, and query effectively. A keen curiosity about data, statistics, machine learning, and data science is essential. Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis. Experience with more »

you will:Analyse the data from our on-truck measurement systemProcess and visualise large datasets suitable for presentation to our customersImplement first-principle and machine learning based methodsSupport the backend team in deploying to AWSApply signal processing techniques to reduce noise and improve algorithm performanceRequired SkillsDegree in Computer … computational science5+ years of Python programming experience with focus on data manipulation and analysis3+ years working with large datasets performing clustering, classification, and regression machine learning or deep learning3+ years using SQL to query large datasetsExcellent documentation and data presentation skillsExperience communicating highly technical results to a diverse more »

on building some fairly simple algorithms before moving into heavy machine learning in the long term, though they’re not looking for ML engineers at the moment. Across their engineering team, they value people who can work autonomously and possess strong algorithm experience, from development to production, end … work and their vision. The following are some nice to haves but not essential:of 3D geometry, computer graphics and 3D computer vision techniques.of ML methods and building physics.deploying and managing runtime environments in GCP.They’re offering up to £70,000 for this role, with some movement here for the more »

field. Proficient in handling behavioural data and modelling. Prior experience in the Health/Pharma industry or domain expertise. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively communicating technical concepts to diverse audiences.NEXT more »

GenAI capabilities, ensuring seamless integration into standard processes as products evolve. Collaborating with cross-functional teams, you'll facilitate the utilisation of AI/ML capabilities while actively contributing to coding, governance, and maintenance tasks. What we'd love to see: A minimum of 4 years' industry experience Proficiency in … developing machine learning models with Python or TensorFlow, particularly in NLP and AI technologies LLMs Experience with building robust pipelines Strong background in DevOps practices, including CI/CD, TDD, and SDLC What's in it for you: A salary of up to £85,000 dependent on experience … of GenAI technology, driving innovation and shaping the future of automation solutions Opportunity to take charge of your career development with ample opportunities for learning and skill enhancement This role is based on-site 3 days a week. Please apply now for immediate consideration. more »

time analytics design and implementation.Deep understanding of both real-time processing and asynchronous analytics systemsExperience in statistical sequence mining and analysis methodsExperience in distributed machine learning systems design and deploymentUnderstanding of distributed domain driven architecture and product thinkingTechnical SkillsArchitecture & DesignEnterprise Architecture and good knowledge of object-oriented programming more »

the business’ growth. The work will centre around reviewing the company data and scores returned by our A.I., making corrections and helping retrain our Machine Learning models. It will also involve reviewing private company ESG data, and keeping our platform up to date with new public company disclosures.Please … needed.A passion for sustainability, but also an interest in financial markets. You would be as interested in talking to a City investment banker and learning how they think, as talking to a Climate Change protestor.A very strong sense of accountability. Someone who never blames others for their mistakes, and … you:Early entry into a growing start-up (still one of the first 20 employees) - where you will work within the Research team, rapidly learning about ESG and how financial markets work.A hybrid work approach. Work alongside the Research team in the London office but option to be fully more »

and including RAG and deploying to public cloud, including Azure & AWS.Amazon SageMaker to monitor and scale LLM apps.Key Skills:degree in Computer Science, AI, ML, or a related field (desired).experience in AI model development and ML algorithms.programming skills in Python, TensorFlow, PyTorch or similar languages/frameworks.with AI ethics more »

deadlines and short timescales Develop features/products with future scalability in mind Implement new technology taking a problem-solving approach (eg. AI/ML) Create and update technical documentation Work to Agile methodologies within a start up environment Assist with recruiting and mentoring junior engineers Skills/Experience: Experienced … infrastructure as code Bonus: Experience with 3D engines and/or OpenUSD/OpenTimelineIO is a benefit Experience with Node.js Experience with AI/ML frameworks Package: Salary £70k - £95k DOE Equity plan Annual bonus scheme Hybrid and flexible working Pension scheme This Lead Software Engineer vacancy is being handled more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

science and robust drug development. You will be a key player in designing and operating software that integrates cutting-edge knowledge graphs, LLMs and ML techniques into our biomedical data processing and drug discovery platforms. We are open to applicants at various career stages, but we are particularly interested in … Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … science, bioinformatics, software development, or a related field. Strong proficiency in Python and experience with Large Language Model integration. Proofed experience in applying modern ML/LLM frameworks and concepts Good understanding of ML principles including embeddings, cross-validation and fine-tuning. Proficiency in common data preprocessing task and normalisation more »

the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data sources, weaving together algorithms that paint a vivid picture of what lies beneath the surface. But it … interpretation of cell culture experimental assay outcomes You’ll be hands on applying and developing artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on our research data sets (e.g. Cell culture, DoE, media formulation, bioprocess parameter optimisation … sources You’ll update and report relevant results to interdisciplinary project teams and stakeholders – a master of knowledge sharing on statistical and AI/ML methodologies You’ll obviously maintain a keen awareness of recent developments in data science and state-of-the-art of AI/ML/DL more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations.As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support the … deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology.Responsibilities:Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end … lifecycle of machine learning models.Develop automated pipelines for model training, testing, deployment, and monitoring.Establish best practices for versioning, reproducibility, and scalability in ML workflows.Collaborate with cross-functional teams to integrate ML models into production systems.Implement robust monitoring and alerting mechanisms to track model performance and health.Requirements:Bachelor's more »

an MLOps Engineer into their team.This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … testing, and deployment.Implement monitoring and alerting systems to ensure the performance and reliability of deployed models.Optimize infrastructure and resources to support scalable and efficient ML operations.Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes.Provide technical support and troubleshooting for ML-related issues.Requirements … Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred.2+ years’ experience in ML Ops, DevOps, or a related field.Solid understanding of machine learning concepts and techniques.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Strong more »

company that specialises in the development of novel therapeutics for autoimmune and neurological diseases! Responsibilities: and implement advanced data science solutions, using AI and machine leaning, with internal and external data to support drug discovery collaboratively with experimental and computational scientists strong background in biologics to establish analytical workflow … statistics, data mining and visualisation of biological data (omics, NGS, and assay data) in integrative analysis of multiple omic data types including advanced statistical, machine learning and deep learning methods (large language models would be highly advantageous) domain knowledge, with a focus on antibodies is highly desirable … the global scientific community! Key Words: Data, Big Data, Bioinformatics, Programming, R, Python, Statistical, Data Mining, Data Visualisation, HPC Unix, Cloud-based, Computational, Deep Learning, Machine Learning, Biological, Biopharma, Biopharmaceutical, Drug Discovery, Omics, Poly-Omics, Target ID, Target Validation, Biomarker Discovery, Oxford, Hertfordshire, Wiltshire, Berkshire, Oxford, Reading more »

Role: Graduate Software Engineer Location: Southampton Salary: £30,000 - £40,000 Start Date: ASAP Tech Stack: Python, JavaScript, AWS, Machine Learning, Agile Our client, based in Southampton, are looking for a Graduate Software Engineer for a growing R & D focused company. As part of continued impressive growth plans … or similar Programming knowledge in Python, Java, or similar language Any experience in the following areas would be advantageous but is not essential:- AI Machine Learning Data modelling API development Cloud computing This is an opportunity to work in a varied role with a company committed to the more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud.What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud, machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis.Working patterns: this is a hybrid role with an expectation more »

business growth and solve complex challenges. They are seeking an experienced Lead Data Scientist with experience in leading, designing and delivering data & AI/ML products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools … with a strong track record of leading and delivering advanced data science projects. Programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure … Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving more »

a solid grasp of modern code development practices.Ability to manage multiple data and analytic systems with an awareness of decentralised data architectures.Experience in maintaining ML models, MLOp pipelines, and model factories, along with proven mentoring abilities and good critical thinking with problem-solving skills.Nice to Have:Experience with relevant technologies more »

blockchains.Write clean, maintainable, and scalable code.Participate in code reviews and team meetings.Keep current with the latest trends and technologies in full-stack development and machine learning.Requirements:Demonstrate that you are a builderAt least 5 years of professional experience in full stack development.Experience on EVM blockchainsProficient in database management (SQL more »

state-of-the-art AI models for content generation and personalisation.Handle a variety of data types, ensuring they are primed for use in their machine learning models.Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG).Ensure high performance and scalability … in London or remote possibilities.The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain.Access to continuous learning and development programs to further enhance your skills.A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are more »