1 to 25 of 249 Permanent Machine Learning Jobs in the South East

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 »

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 »

Job DescriptionInfrastructure Engineer - ML & GPGPU DeploymentWithin this position you will be joining a Leading AI Innovation Team as an Infrastructure Engineer improving their generative AI products with automated testing and evaluation. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize … industries worldwide.As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Your responsibilities will include architecting an internal platform to facilitate high-throughput inference of these models. You will develop the core … relocation support. Candidates should possess a minimum of 2-3 years of professional experience in a similar capacity.Qualifications:We are seeking candidates with exceptional ML engineering evidenced by:Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficiency in efficient serving of large machine 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 »

measure model performance and detect data drift.Collaborate closely with stakeholders from different functions to understand their requirements and provide appropriate solutions.Actively seek opportunities where machine learning solutions can have a significant impact on business outcomes.Communicate findings and insights effectively to technical and non-technical stakeholders.REQUIREMENTS:A Bachelor's … Business Administration, or related field.Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn.Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles.Strong problem-solving skills and meticulous attention to detail.Excellent communication and collaboration 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 »

Job DescriptionData Python Developer – Python, Data, Products, AI, Machine Learning, Cloud, Financial Services – Permanent – £100,000 - £115,000 base + bonus – London/Hybrid My client, a leading Financial Services organisation based in London are looking for a Python Data Product Developer to join their London office on … You will be tasked to use Python to write high-level code to process and transform data. In addition, you will design and implement Machine Learning models to enhance decision making. Prior stakeholder management is required as you will be interfacing with senior stakeholders gathering business requirements to … actionable data strategies.Ideal Skillset:Previous experience working in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP 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 »

performance of existing data pipelines depended upon by production software applications.· 5+ years of data engineering experience for big data, data analytics, reporting, and machine learning solutions with advanced SQL knowledge.· Proficient in designing and developing data models for simulated and acquired data.· Experience with Data Warehouse, Data … work experience.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency, and workload management.Understanding of AI/ML/Data Structure and knowledge of graph theory an advantage.Experience in GIS and spatial analysis is highly desirable.· Strong SQL skills for spatial data management 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 »

help push the development of NLP models used in this product. Key Skills: MSc or PhD level qualification or equivalent industry experience Experience in Machine Learning and its ecoysystem: PyTorch, Pandas, Numpy, Tensoflow, Keras, Sci-Kit etc. High level of NLP and LLM for text processing Python proficiency 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 »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »

level of knowledge of NLP techniques, including experience applying Large Language Models (LLM) for text processing. Proficient in Python High level of knowledge of machine learning methods Experience as a team leader, mentor or supervisor, with a desire to help grow a team of Data Scientists through line more »

genuinely exciting company in Oxford in a permanent basis. We're working with a high tech consultancy company working on projects within Software, Data, Machine Learning, Pharma, Automotive, Retail and Finance (amongst others) - some of their end customers are household names, so this is an ideal opportunity to more »

reporting Opportunity to contribute to new business pitches as well as existingWhat we'd love to see:Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience What's in it for you: A salary of up more »

practicesSupport current applications Introduce AI practices to the team/project Communicate key successes with stakeholders Key Skills: Azure Databricks Apache Spark Datascience, AI, ML Certifications or continued upskilling/contribution to blog posts within Data & AI beneficial but not essential. This is a full-time role offering up to more »

a ReactJS front end, hosted on AWS. There's extensive greenfield developement ongoing with opportunities to work in areas such as graph theory and machine learning.As the team is taking shape, they're interested in hiring backend weighted and fullstack engineers. The team practice engineering best practices, pair on more »

is able to demonstrate skills/knowledge such as; Experience within Energy markets (forecasting experience is a bonus!)Experience working across a range of ML models, e.g. TensorFlow and scikit-learn GitHub or Azure DevOps knowledge SQL knowledge is desired Good communication skills are required with the ability to discuss more »

established company in the Energy space.THE ROLEAs a VP you will have the following responsibilities:Driving the strategic direction of innovating the Analytics and Machine Learning platformSupporting client delivery, actionable insights and recommendations to stakeholdersDriving data governance and security best practicesHelping scale and grow a teamYour Skills and more »

you can work with and learn from the best technologists.Role:Working on highly scalable and distributed systemsGreenfield buildout of proof of concept ideasBuild new Machine Learning frameworks, web applications and other and data driven products using bleeding edge technologies.Skills/Experience:Strong knowledge of Python and/or more »

the software team in the right direction Essential experience MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 4+ years as an ML Engineer/Architect in the domain of specialized AI-hardware platforms i.e. an AI processor chip Knowing how to deploy AI into large scale datacentre more »