1 to 25 of 46 Machine Learning Jobs in Leicestershire

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 ❯

and objectives. Own the creation of data best practices and standards in collaboration with technical stakeholders. Maintain a good high-level knowledge of data engineering principles, data science, and machine learning concepts. Share technical knowledge of the data platform with technical and business stakeholders. Work in collaboration with technical and business stakeholders to identify and define platform business … to ensure they conform to Next enterprise architecture principles, security standards, and non-functional requirements. About You Excellent verbal communication and customer-facing skills. Takes initiative to advance own learning and professional development. Extensive experience building/designing enterprise-scale data platforms for data ingestion, data processing, data transformation, business intelligence, AI, and advanced analytics. Proven hands-on capability More ❯

near real-time data processing. Knowledge of data governance, compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make More ❯

near real-time data processing. Knowledge of data governance, compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, leicester 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 ❯

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 ❯

their skills in a fast-paced business environment. Role Responsibilities As a Data Scientist you will be responsible for: Driving data within Cromwell Data set generation, feature engineering & developing ML models that are repeatable, dynamic, and scalable. Developing, monitoring & maintaining AI-driven processes within the business Supporting with monitoring & maintaining productionised models, identifying, and developing long-term processes, frameworks, tools … methods, and standards. Developing ML models, visualisation tools & analytics to support the business strategy. Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems. Managing relationships Engaging with business stakeholders to problem solve with data. Collaborating with the data engineering team to improve data accessibility. Supporting analytics teams to effectively …/PostgreSQL/Microsoft SQL/Oracle Proficient in Python or R Proven business experience (1+ years) within a data scientist role, solving problems through data. Good understanding of machine learning modelling techniques & proven experience deploying these within a business Adept in in statistics and experience of using statistical techniques Experience of analysing large datasets and communicating complex More ❯

to your personal development needs, along with two free residential management training courses at the beginning of the project. Career Progression: Deliver high-impact outcomes within a business while learning at the same time, significantly contributing to your long-term career progression. Modern Facilities on Campus: Access to state-of-the-art campus facilities, including libraries, research labs, Sports … Project Board meeting of the partners. Qualifications, Knowledge and Experience - PhD in Computer Science, Data Science, Mathematics, Engineering or similar - Programming proficiency in Java, (or Python) - Good understanding of ML techniques and algorithms - Good understanding of knowledge representation and graph models - Understanding of insurance industry relevant to Risk Compliance Management. - Demonstrated experience in managing projects from initiation to completion, ensuring … and quality standards are met Skills, Abilities and Competencies Essential - Proactive and self-motivated, with the ability to work independently and take initiative - Project management skills and business acumen. - Machine Learning techniques. - Proficiency in Python or Java programming. - Excellent written and spoken English communication skills. - Ability to communicate with a range of stakeholders with different levels of technical More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights for … AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Strong understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical and problem-solving skills. Experience with social media analytics and user … behavior. Knowledge of big data technologies like Hadoop, Spark, Kafka. Understanding of AWS machine learning services like SageMaker and Comprehend. Experience with data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only position, offering a stake in a rapidly growing company and the More ❯

to be able to transform raw source data into SQL columns. Experience with GCP solutions such as DataFlow and Pubsub are huge plus. Understanding and experience in AI/ML platform and pipeline, such as Vertext AI. EMPLOYEE BENEFITS Competitive compensation packages including bonus and options Medical, dental, and vision benefits Matching 401(K) Paid time off Telecommuting and remote More ❯

biggest names in the entertainment, 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 generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative 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 driving innovation in AI-driven More ❯

execution and delivery of data science projects in a collaborative environment. We expect the role holder to bring relevant expertise and experience in data analysis, including statistical modelling and machine learning, to communicate effectively on progress and results to a variety of audiences. In addition, we expect the job holder to advocate for data-driven research, to be … technology. What are we looking for? PhD or master's degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications. Understanding of statistical principles related to sampling, bias, inference and prediction. Ability … materials to a variety of audiences. What will be your key responsibilities? Execute data science projects in a collaborative environment, taking responsibility for data analysis, including statistical modelling and machine learning, and data management and reporting with a repeatable, interpretable and scalable approach. Work with key stakeholders across the organisation to deliver value-adding data science projects across More ❯

Key result areas include Lead on the development of insights, data visualisations and evidence-based reports with teams across UKAD Apply data science methods, such as statistical analysis and machine learning to identify new insights, trends, and optimise decision-making processes Explore and evaluate potential applications of generative AI within anti-doping, ensuring that any implementation adheres to … analysis Proficiency in using common data science Python packages (e.g. Pandas, NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy), and data acquisition techniques (e.g., Selenium) is advantageous. Proficiency in producing detailed project documentation, including specifications, test More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all 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 … such as DP-100 and AI-102 - 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. 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 models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed 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 work alongside teams that have … joined 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 feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud 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 ❯

Direct message the job poster from The Portfolio Group Chief Operations Officer at The Portfolio Group | Executive Recruitment & Search Assignments. An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and …/Machine Learning Engineering Lead Software Engineer - Analyst/Associate - Birmingham West Midlands, England, United Kingdom 2 weeks ago Warwick, England, United Kingdom 2 weeks ago Senior ML Engineer - LLM Applications (Remote - United Kingdom) Birmingham, England, United Kingdom 2 weeks ago Birmingham, England, United Kingdom 4 days ago Birmingham, England, United Kingdom 4 days ago We’re unlocking More ❯

audio, text and video Familiar with different multi-agent system patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience working on data-heavy applications Familiarity with CI/CD pipelines If you're available from 19th May and interested in a short-term, high-impact GenAI project. More ❯

of the proposed system. About you Qualifications, Knowledge and Experience PhD in Computer Science, Data Science, Mathematics, Engineering or similar Programming proficiency in Java, (or Python) Good understanding of ML techniques and algorithms Good understanding of knowledge representation and graph models Demonstrated experience in managing projects from initiation to completion, ensuring deadlines, budgets, and quality standards are met Skills, Abilities … and Competencies Proactive and self-motivated, with the ability to work independently and take initiative Project management skills and business acumen. Machine Learning techniques. Proficiency in Python or Java programming. Ability to communicate with a range of stakeholders with different levels of technical knowledge. Can demonstrate a deep enthusiasm for learning and experimenting with knowledge management systems …/data science and machine learning. Good understanding of object-oriented design principles. Able to present data in an easy-to-understand format which can be used to gain deeper insights into the topic of enquiry Additional information Informal enquiries can be made to Professor Reiko Heckel on rh122@leicester.ac.uk . Enquiries on KTP can be made ktp@le.ac.uk More ❯

supply chain operations. Job Responsibilities Work with data both internally and from the customer to understand demand profiles for field requirements and returns. Explore the use of AI and machine learning tools to support the transformation of logistical and warehousing areas of the business. Assist in creating reports to measure the success of all supply chain and warehouse … and logistics industry. Experience extracting data from Warehouse Management Systems. Experience creating and automating detailed, granular, and wide-ranging forecasts. Enthusiastic about creating change. Keen interest in AI and Machine Learning with the skills to implement them within our business. Understanding of logistics and warehouse fulfillment operations is advantageous but not essential. Experience Experience using complex data sets … to support strategic direction. Experience producing complex forecasts through detailed analysis. Proven ability to communicate data insights to stakeholders. Experience with machine learning and AI is highly advantageous. Strong problem-solving skills. Attention to detail. Good judgment and decision-making skills. Agile thinking and adaptability. Strong planning and organization skills. In return, we offer excellent career progression opportunities More ❯

A minimum of 3 years of experience in quantitative research, within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage strategies, with examples of applying Machine Learning techniques More ❯

to succeed Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical actions. Knowledge of housing systems and public sector data (desirable). A proactive, problem More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯