51 to 75 of 255 Machine Learning Jobs in the South East

lead the development and implementation of an AI ethical framework and governance. The successful candidate will ensure that our use of artificial intelligence and machine learning technologies aligns with regulatory requirements, ethical standards, and industry best practices.Key Responsibilities:Stay updated on emerging trends, technologies, and regulatory landscapes in … requirements.Required Experience & Skills:Proven track record in AI ethics, with a comprehensive understanding of ethical principles, regulatory requirements, and best practices.Familiarity with AI and machine learning technologies.Experience navigating regulatory frameworks such as EU Act and GDPR, with a commitment to compliance and data protection.Join us in shaping the … You'll have the opportunity to actively contribute to the development and execution of ethical frameworks that guide the use of artificial intelligence and machine learning technologies. Your expertise and dedication will play a crucial role in ensuring that our practices align with regulatory requirements, ethical standards, and more »

building cloud solutions to support the activities of machine learning engineers across the company. You will build tools and APIs to support ML teams in every stage of their ML workflows. You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model … management, deployment, serving and monitoring. On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user … and design and document tools accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »

functional leadersUse models like regression and propensity models, time-series, ensemble methods and neural networksSeek out opportunities to make an impact using the latest ML methods (NLP and Gen AI)Be the go-to authority for data products and advanced ML solutionsTranslate complex data models to actionable insightsEnd-to-end … machine learning product development, from data wrangling to model tuning and deploymentProvide insightful storytelling to stakeholders through compelling dashboards and visualisationsLead and oversee intricate data projectsCoach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the teamRequirementsMinimum 4 years’ hands-on experience as … a Data ScientistBSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non more »

modeling disciplines;analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;implementing machine learning algorithms, working end-to-end on machine learning pipelines in production;data engineering working on ETL pipelines, crawling APIs and more »

Job DescriptionMACHINE LEARNING ENGINEERREMOTE£70,000 - £90,000COMPANY:We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry.They are looking for an experienced Machine Learning Engineer, with a background … the industry, as well as work closely with their clients.ROLE:You will be involved in implementing and fine tuning LLM'sDesigning, implementing and maintaining ML pipelinesDefine infrastructure requirements and architecture for Model Training and InferenceMeasure and review the performance of production models - Regularly conducting evaluation and tuningCollaborate closely with the 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. Responsibilities: - Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations. - Conduct research into novel … managing the migration of codes to new computing architectures and evaluating their effectiveness. - Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machine learning models. - Collaborate with national and international partners to optimise codes for more »

levels.Analytics and Insights:Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics.Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies.Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis.Collaboration … teams and client engagementExtensive experience in advanced analytics and data science, preferably in a commercial or consulting environment.Proficiency in Python programming and experience developing ML or statistical models related to pricing.Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake).Bonus Points for:Experience … implementing Machine Learning models and familiarity with large language models.Knowledge of cloud-based solutions on major providers (Azure, GCP, AWS).Familiarity with collaborative software tools such as Git and Jira.Proficiency in user interface applications like React and JavaScript.Domain expertise in pricing, demand forecasting, or time-series modeling. more »

and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuildWhy We Need This RoleWe are looking for a Machine Learning Engineer to help us maintain and expand an ecosystem of microservices developed within the Intelligent Systems Group. This includes ensuring robustness and … pipelines.What we are looking forAbility to work in a team and great communication skills. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python (no data science experience required). Experience working on production-level microservices (Docker/ more »

have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machine learning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

Job DescriptionMachine Learning Engineer (LLM)£60-80k + equityFull time in the office (London)Ground-breaking AI Start-upLa Fosse have partnered with an initiative AI Start-up which their solution optimises LLMs to enable commercial teams to conduct hyper-personalised campaigns at scale and create a more … engineer.If you’re interested in this role and are happy working 5 days a week in the office, apply now to find out more!Machine Learning Engineer (LLM more »

technology services. Join the Ordnance Survey's Automatic Feature Extraction team as a Data Scientist and contribute to solving business and customer problems using machine-learning and data science techniques, particularly with Computer Vision. Be part of a multidisciplinary production delivery team and actively engage in the analytical … a relevant field. ? Experience in a data-intensive analytical role. ? Strong mathematical and programming skills. ? Understanding of software engineering best practices in support of ML programming. ? Customer-focused with strong presentation skills. ? Understanding of descriptive, predictive and prescriptive analytics. ? Experience developing machine learning models. ? Ability to structure business more »

such as demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes.Job Role RequirementsDesign and refine machine learning and statistical models to improve their performance and adaptability.Develop prototypes of statistical and machine learning models in Python, ensuring they 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 »

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 »

OFFICE 💸 £40k - £50k plus bonus 💰 Relocation budget available !! 💥 Incredible culture; highly collaborative, flat, sociable, relaxed yet driven 💥 Diverse roles encompassing insights, data visualisation and machine learning across multiple titles 💥 Would suit those with a passion for football and video gaming ⚽ 💥 Work amongst friendly, down to earth, happy people … order to predict player behaviours and really get under the skin of customers. Skills & experience required: Educated to degree level in a numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Statistical analytics background employing a wide variety of techniques to solve problems and more »

role will place you at the forefront, collaborating directly with decision-makers and an adept team of data specialists The Role: Applying statistical and machine learning expertise to solve real-world business problems. Experimenting with models and datasets to drive transformation. Developing tools to monitor model performance and … data accuracy. Communicating results to stakeholders. The Candidate: Strong statistical and machine learning skills. Proficiency in Python, Power BI, and SQL. Experience with Azure ML. Ability to mentor junior team members. MSc/PhD in Data Science or related field. Excellent communication skills and proactive attitude If this more »

and developers to define requirements that align to overall business strategy acting as a liaison between technical and non-technical teams. Spearhead the new machine learning and predictive analytics project, you will have the opportunity to work across Databricks, Azure and Power BI. Using your strong analytical skills … software development and computer science implementation within business environment. Requirements: Strong Track record of working as a BA or Technical BA. Experience with Databricks, Machine Learning or … AI predictive analytics and Power BI. Excellent communication and stakeholder management experience across technical and non-technical teams. Knowledge of Databases, 3-tier architecture, ML/AI concepts and Azure. Knowledge of development practices including the software development lifecycle (SDLC) and software testing principles. (An understanding of code will be 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 »

sources.Identify patterns, trends, and correlations within the data to uncover actionable insights.Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action.Implement machine learning techniques to segment customers and personalise marketing strategies.Collaborate with cross-functional teams to enhance CRM strategies based on data-driven insights.Generate comprehensive … on behavioural, transactional, and demographic data.Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty.Requirements1-3 years experience in data analysis, statistical modelling, and machine learning techniques.Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure.Strong programming skills in languages 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 »