1 to 25 of 32 Machine Learning Jobs in Basildon

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 ❯

capabilities to support self-service data analytical tools Reporting and maintenance of data quality of core datasets and define improvement strategies Develop data infrastructure to support potential AI/ML use-cases Data Governance: Establishing data governance frameworks, policies, and standards Defining data ownership, stewardship, and quality management processes Implementing data management practices for data acquisition, storage, integration, and archival … on emerging AWS technologies and trends and evaluate their potential to enhance Pharmanovia's cloud infrastructure. Provide technical guidance and mentorship to junior team members, fostering a culture of learning and innovation within the engineering team About you: Bachelor's or Master's degree in Computer Science, Engineering, or related field Knowledge of ITIL 4 and change management practices 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 ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, basildon Client: WMtech Location: basildon, United Kingdom Job Category: Other - EU work permit required: Yes Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role … platform's first focus is on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to … 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 ❯

goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for analysis and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to uncover trends and insights. Work with … Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, programming languages (Python, R, Scala). Experience with SQL, NoSQL, data visualization, and … statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior understanding. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services like SageMaker, Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and deadline management. Compensation: This is an equity-only position More ❯

and GIS data manipulation Experience with UI/UX best practices Familiarity with embedded Linux or real-time systems Background in security/defence command & control systems Exposure to machine learning or statistical analysis Additional Info Occasional project-related travel may be required (UK & international) Driving licence and passport required Ready to make a real impact on global More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … 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 … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL 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. More ❯

week ago Chelmsford, England, United Kingdom 3 months ago Basildon, England, United Kingdom 1 week ago Basildon, England, United Kingdom 4 hours ago Senior Research Scientist: Data Science and Machine Learning Senior Research Scientist: Data Science and Machine Learning Chelmsford, England, United Kingdom 4 months ago Epping, England, United Kingdom 2 weeks ago We’re unlocking More ❯

Job Title: Machine Learning Engineer Location: Fully Remote UK Job Type: 6 Month Contract + chance for extension Interview Process: Video Interviews held remotely Rate: DOE Outside IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and … consultancy partners who have recently won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and … different market conditions and generate optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks More ❯

to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share learning across teams to support wider AI adoption. Stay current with developments in AI, automation, and machine learning tools and techniques. What We’re Looking For: Demonstrable experience … ability to manage projects independently in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive … benefits package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking, and experimentation-friendly work environment. Opportunities for continuous learning and career development. Location: Remote with very occasional travel (UK-based) Salary: Up to £70,000 + typical benefits If you’re an experienced practitioner with a passion for AI, automation, and business 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. Virtual job fairs The 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 ❯

view to go permanent) UK – Remote Up to £65,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent … for a data-driven professional eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to … refine pricing strategies and improve business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline pricing model deployment for continuous More ❯

world-class software engineers who will continuously improve, collaborate, and innovate to create market-leading products within the defence industry. What we are looking for: Essential C# software development Machine-to-machine networking, working to third-party … interface definitions Test frameworks and test development (not test-driven development) Microservices architecture/containerisation (development of containerised plugins, with potential to replace existing components) CUDA integration (AI/ML) Development of new applications to meet user expectations within formal constraints, including HMI/GUI/UX experience Familiarity with embedded development tools and approaches Experience with developing Windows & Linux … support Knowledge of industrial protocols (e.g., Synergia) Experience with radar systems Experience with Luciad Experience with CUAS/Tracking software, including data fusion, thermal/IR imaging, AI/ML exploitation What you will get: Flexible working hours and part-time options to support work-life balance Flexible benefits tailored to individual needs Above-average employer pension contributions Annual bonus More ❯

Machine-to-machine networking, working to third-party interface definitions Test frameworks and test development (not test-driven development) Microservices architecture/containerisation CUDA integration (AI/ML) Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity with the tools and approaches to embedded development. Experience with … spoken language support Industrial protocols Experience with Radar Experience with Luciad Experience with CUAS/Tracking SW Data fusion (video and radar tracks) Thermal/IR imaging AI/ML exploitation What you will get: Flexible working: We offer our employees time and flexibility they need to enjoy a balanced life through flexible hours and part-time options. Flexible benefits More ❯

world-class software engineers who will continuously improve, collaborate, and innovate to create market-leading products within the defence industry. What we are looking for: Essential C# software development Machine-to-machine networking, working to third-party interface definitions … Test frameworks and test development (not test-driven development) Microservices architecture/containerisation (funding available; development of containerised plugins and gradual replacement of existing systems) CUDA integration (AI/ML) Development of new applications to meet user expectations within formal constraints, including HMI/GUI/UX experience Familiarity with embedded development tools and approaches Experience with developing Windows & Linux … language support Experience with industrial protocols (e.g., Synergia) Experience with Radar Experience with Luciad Experience with CUAS/Tracking SW, including data fusion, thermal/IR imaging, AI/ML exploitation What you will get: Flexible working hours and part-time options to support work-life balance Flexible benefits tailored to individual needs, including lifestyle, health, and wellbeing options Above More ❯

calm and assertive manner. High level of interpersonal and teamwork skills with the ability to build and maintain strong relationships with senior managers, managers, and colleagues across the organisation. Machine Learning experience Project Management certification, Prince 2 or Agile. Managing and influencing senior stakeholders Able to demonstrate leadership skills to provide direction, support, influence and mentoring of project 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 ❯

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 ❯

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 ❯

of a community of world-class software engineers who will continuously improve, collaborate, and innovate to create market-leading products within the defence industry. What we are looking for: Machine-to-machine networking, working to third-party … interface definitions Test frameworks and test development (not test-driven development) Microservices architecture/containerisation (development of containerised plugins, with potential to replace existing components) CUDA integration (AI/ML) Development of new applications to meet user expectations within formal constraints, including HMI/GUI/UX experience Familiarity with embedded development tools and approaches Experience with developing Windows & Linux … mode) Knowledge of industrial protocols (e.g., Synergia) Experience with radar systems Experience with Luciad Experience with CUAS/Tracking software, including data fusion, thermal/IR imaging, AI/ML exploitation What you will get: Flexible working hours and part-time options to support work-life balance Flexible benefits tailored to individual needs Above-average employer pension contributions Annual bonus More ❯

s Typhoon Concept demonstrators for future Electronic warfare technologies and systems Drawing insight from the vast amounts of data collected by our electronic surveillance systems through artificial intelligence and machine learning What you’ll do as a Systems Engineer: Our Systems Engineers work in multidisciplinary teams spanning a range of activities pulling together the necessary engineering and technology … specialist knowledge such as: Digital signal processing RF systems Multi-sensor data fusion and tracking Real time data simulation/generation Military Electronic systems Data analysis using AI or Machine Learning Operational Experience in Electronic Intelligence or Electronic Warfare What we can offer you: Flexible working: We offer our employees the time and flexibility they need to enjoy … a balanced life Continuous Learning: You’ll be supported in ongoing personal development, including access to thousands of online courses free of charge via Coursera and LinkedIn Learning Annual leave: 25 days holiday plus eight bank holidays Pension scheme: Our award-winning pension scheme includes generous employer contribution Flexible benefits: Our company-funded approach to flexible benefits allows More ❯

methods for interpreting biological sequences and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications … with software development best practices . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise in at least one of … the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

mind-set to systems engineering, building a culture of experimentation and failing fast Collaborate with your peers in similar roles across the UK to promote a culture of continual learning and improvement, acting as a change agent for systems engineering About You You will have proven experience as a Chief/Lead Engineer (or role with similar responsibilities), with … Domain experience any of the following specialisms; Telecommunications, RF, Electronic Warfare, Electro-Optics, Air/Land/Sea sub-system Platform Integration, Data Distribution Services, Sensor Fusion, AI/Machine Learning Practitioner level ability using Model Driven Engineering tool e.g. Cameo Systems Modeler, Matlab, Simulink, DOORS (classic) All successful applicants must be eligible for full security clearance and More ❯