1 to 25 of 46 Machine Learning Jobs in Gloucester

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 … 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 More ❯

Social network you want to login/join with: Machine Learning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the … position for you! This Machine Learning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯

complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate 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 … 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 More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

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 … 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 … 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 More ❯

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯

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 More ❯

security practices and data legislation. Team Leadership & Project Management: Proven leadership in data engineering teams and projects. Desirable: Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics. BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker. Automated Testing & Monitoring: Experience with ICEDQ, QuerySurge, or cloud-native monitoring More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning … Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll … from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, gloucester col-narrow-left Client: WMtech Location: gloucester, United Kingdom 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 … 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 More ❯

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. … 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 More ❯

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 More ❯

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 More ❯

vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights More ❯

services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data into AWS for analysis. 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 … with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical … and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data tools like Hadoop, Spark, Kafka. Familiarity with AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet More ❯

LLM. ? Tackle complex engineering challenges: Think scalable infrastructure, observability, CI/CD pipelines, and model deployment. ? Work cross-functionally: Partner with product managers and machine learning teams to deliver practical, user-facing AI features. ? Join a company with serious momentum: This team sits within a well-established, profitable … in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and ship What’s on Offer: ️ Travel perks, sabbaticals, and plenty More ❯

Python, Java, or Go. Experience in distributed computing techniques. Built over a 60-year heritage, Roke offers specialist knowledge in sensors, communications, cyber, AI, ML, and Data Science. We change the way organisations think and act – through dynamic insights from the analysis of multiple layers of data. We take care More ❯

Social network you want to login/join with: Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length, gloucester col-narrow-left Client: Location: gloucester, United Kingdom Job Category: Other - EU … work permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length The Client: A … mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on ADMET modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations More ❯

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 More ❯

weeks ago Gloucester, England, United Kingdom 1 month ago Cambridge, England, United Kingdom 4 months ago Stonehouse, England, United Kingdom 4 days ago Machine Learning Engineer - Outside £550p/d - eDV Cleared We’re unlocking community knowledge in a new way. Experts add insights directly into each article More ❯

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 More ❯

a team of data engineers, providing guidance, mentorship, and support to ensure successful project delivery. Foster a collaborative and high-performance environment, encouraging continuous learning and professional development. Support the Head of Data Operations to coordinate team activities, set clear goals, and monitor progress to achieve project milestones and … based data solutions. Ability to mentor and guide team members, fostering a collaborative and high-performance environment. Desirable: Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics in cloud environments. BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker for visualisation in cloud platforms. Automated Testing & Monitoring More ❯