1 to 25 of 32 Machine Learning Jobs in Chelmsford

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

architectures to building and maintaining robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure needs, implement DataOps practices, and More ❯

in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are … with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, chelmsford col-narrow-left Client: WMtech Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: AI Tech Lead – Agentic AI … LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a cutting-edge AI platform designed to drive real-world behaviour change and improve human performance … build both product and team in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for core systems, focusing on scalability More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate … will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into … and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image More ❯

Job Title: Research Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology … in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting More ❯

in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes … transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and More ❯

goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work … field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modelling, ETL, data warehousing, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and … statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and team collaboration skills. Attention to detail and ability to meet deadlines. Compensation This is More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. You will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are … with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver More ❯

environments. We are seeking a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is within our Advanced Information Processing (AIP) group, focusing on … developing inference algorithms and applying AI/ML to sequential data and decision-making processes. You will work on diverse research topics for clients in space, defense, security, and commercial sectors, as well as internal projects. There will also be opportunities to collaborate with academic partners and pursue personal research interests. The Data and Decision Support Capability encompasses teams working … on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical challenges and customer-facing tasks. Candidates should have a PhD or equivalent industry experience in a relevant discipline, with several More ❯

to be part of a newly formed, high-performance team building enterprise-grade AI from the ground up. What You’ll Be Doing: Designing, developing, and deploying AI/ML solutions using Python and modern ML frameworks. Building and fine-tuning Large Language Models (LLMs) , working with embedding models and vector databases. Creating agentic workflows and tools that simulate decision … tools within a modern Azure cloud infrastructure (or similar). Supporting ongoing AI experimentation and driving continuous model improvement. Keeping up to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals More ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯

someone who has been working within banking or financial sector for some time, but really looking for a more meaningful & purpose-driven business to join. They are investing within Machine Learning & AI to improve digital experiences for their customers, and plan to keep growing the team whilst they move towards their next funding round. The role is remote More ❯

in the SDLC, support CI/CD pipelines, and ensure testability is part of the design. AI Tools & Automation: Explore, evaluate, and drive the adoption of modern AI/ML tools for test generation, test maintenance, and defect prediction. People & Process Leadership: Mentor junior QA members, enforce best practices, and continuously improve testing strategies and coverage. Metrics & Reporting: Define and … like driving clarity and structure where there is ambiguity. Nice-to-haves Prior experience as a QA manager or team lead. Background in software development. Exposure to AI/ML concepts in a practical or project setting. Why Join Fanvue? Competitive salary and benefits package Work with a talented, mission-driven team dedicated to empowering creators worldwide A culture that More ❯

AWS/GCP), CI/CD, and agile product development Track record of scaling teams, improving delivery processes, and aligning engineering with company goals Bonus: Experience with AI/ML products or embedded intelligence in enterprise software Excellent communication, people management, and stakeholder engagement skills What’s On Offer ? Equity options for long-term growth ? Remote-friendly, with relocation or More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative … projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends and contribute to open research … Requirements: • PhD or equivalent experience in ML, AI, CS, physics, or mathematics • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks #J-18808-Ljbffr More ❯

latest developments in Artificial Intelligence and Machine Learning. You are also likely to have a strong background in the mathematics, statistics and computational techniques which underpin AI/ML What We Are Looking For As a lead technologist you will demonstrate deep expertise in at least one area of interest of the capability, but also a good level of … will have the opportunity to mix technical challenges with customer-facing and project support tasks. You will engage with and undertake assurance for a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong … your skill and experience. Essential Knowledge, Skills and Experience: You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams with a minimum of 5 developers. You will have experience More ❯

AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … Certified: Azure Data Engineer Associate or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. … Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. Proven ability to work effectively in a collaborative, cross-functional team environment. #J-18808-Ljbffr More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You’ll Be Doing Building & integrating AI models – Design, develop, and deploy AI solutions that make a real difference. Optimising … align with business goals. Communication & leadership – Break down complex AI concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch. Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience More ❯

This project works closely with a leading Entertainment platform, aiming to improve and optimise the search engine function. You will work with other Data Scientists to build and optimise ML Models that improve the accuracy and efficiency of the search engine. Experience in a similar project is extremely beneficial for this position. Python, AWS, Sage Maker, A/B Testing … AI/ML Search Engine projects Effective communication & working under pressure Inside IR35 ASAP Start If you’re available to start in the next 2 weeks & meet the above requirements, please apply now! #J-18808-Ljbffr More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and More ❯

behind smarter pricing decisions. THE ROLE As a Software Engineering Manager, you will lead a small, high-performing team focused on building the infrastructure that powers core AI and ML capabilities. Your work will directly enable smarter forecasting and real-time pricing for hotel partners around the world. Specifically, you can expect to be involved in the following: Leading the … design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science contexts Providing light-touch line management to a capable and largely autonomous team Driving technical excellence and being the go-to technical leader … Engineering Manager will have the following skills and experience: Strong recent experience with Kubernetes, auto-scaling systems, and infrastructure on GCP Proficiency in Python, particularly in data science and ML-driven environments Experience working closely with Data Science teams and understanding algorithmic workflows Proven ability to lead and inspire engineers through technical depth and guidance Comfortable being hands-on while More ❯