1 to 25 of 37 Permanent Machine Learning Jobs in the South East with Remote Work Options

Machine Learning Developer Salary: £60,000-80,000 Remote role with occasional visits in the office Permanent/Full Time Design and implement machine learning algorithms and systems Technology business that services the Engineering industry Take part in crafting a new solution that focuses around … Augmented Reality and AI The opportunity: This is an amazing opportunity to join a start-up developing an AR product that utilises AI and ML; and will transform and enhance safety within an Engineering Maintenance & Repair environment. A prototype has been created and was met with such positivity that grants … and allows their engineers to safely maintain and repair in the most efficient and compliant way. The Role/Responsibilities: Create and deploy advanced machine learning algorithms and systems. Work closely with a group of developers in the execution of AI and machine learning initiatives. Collaborate more »

Learning Engineer/Data Engineer is required for a pioneering company at the forefront of revolutionizing industrial operations. Coming in as a Lead ML/Data Engineer you'll have the opportunity to spearhead the development of this Spatial Intelligence Platform working very closely with the CEO and CTO. … a real opportunity to impact the organisation that has already built a successful product with an exceptional but small team. Lead Data Engineer/ML - The Role: As a ML/Data Engineer, you'll leverage your expertise in Data Engineer and Machine Learning, and software development to … take charge of our cloud-based data analytics stack. Lead Data Engineer/ML - About You: Top academics in a relevant field (Computer Science, Statistics, Mathematics) Strong command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in … business requirements and the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. … maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow more »

with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data. AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform’s … Background : Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning. Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting. Programming Skills: Proficiency in programming languages such as Python … like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision tasks. Data Handling more »

with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data. AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform's … Background : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning. Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting. Programming Skills: Proficiency in programming languages such as Python … like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision tasks. Data Handling more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of 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 »

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 »

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in more »

Direction : Define the technical direction of the systems and tools utilised by the team, particularly as we advance towards leveraging Machine Learning (ML) and Artificial Intelligence (AI) technologies. Required Experience: To excel in this role, you should have demonstrable experience with the following: Snowflake : Proficiency in Snowflake, including more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

with disease subtypes at a finer granularity. The Perturbation Catalogue will deliver rich community standards, open-source harmonisation and meta-analysis software, gold standard machine learning ready datasets, and a highly customisable public cloud platform with distributed data warehousing technology for cross metadata queries. You will interact closely more »

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI … health, wellbeing, lifestyle, and finances. Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. more »

the broader scientific community from academia and industry to ensure that EBIs chemical biology resources remain world-leading and, in particular are AI/ML ready. Seek new opportunities to further enhance EBIs chemical biology resources, for example through the use of AI/ML Work with strategic partners (e.g. … You might also have A track record of visible contributions to the scientific community e.g. publications, conference presentations, panel memberships, journal editorship Knowledge of machine learning and AI Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £260, monthly child more »

Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

it is a prime example of a big-data public archive which brings with it both vast opportunities for data reuse, for instance in machine learning, and the challenges inherent in managing imaging data at petabyte scale. Your role The role will work across the technical stack to more »

Your leadership will be critical in evangelizing the use of data science, collaborating with cross-functional teams, mentoring other analysts, and overseeing AI and ML projects. Join us to make a significant impact on our business through data-driven innovation.. Success in this role looks like: University degree in a more »

emerging trends Ability to work independently and collaboratively in a fast-paced environment Excellent communication and problem-solving skills Experience/background in Research, Machine learning or AI is a plus Offering a competitive salary, benefits package, and a dynamic work environment that encourages creativity, innovation, and professional more »

as technical knowledge of relational databases and data modelling. Power Bi skills are essential, but additional technical skills such as SQL, Python, Statistics or Machine Learning would be very useful. Additional Requirements: Candidates must have an existing right to live and work in the UK. If this sounds more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »