51 to 75 of 151 Machine Learning Jobs in Leicestershire

in cross functional teams and explain complex technical concepts to non-technical stakeholders. Nice to Have: Experience with OCI cloud-based services Experience with machine learning or AI in security applications. Experience in Agile methodologies and using project management tools like JIRA and confluence. Knowledge of Software Assurance More ❯

to integrate seamlessly into enterprise applications, particularly within the financial sector. A company of 10, the Co-Founders have PhDs in the AI/ML field & are looking for their 3rd and 4th Backend Engineers to keep up with client demand for Product Development What You’ll Do Design, develop More ❯

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. …/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 More ❯

is looking for a Head of AI to lead our small but mighty AI team and shape the future of autonomy, computer vision, and machine learning at the heart of our products. What You’ll Do Own and drive our AI strategy end-to-end … Build and lead a high-performing team Work closely with robotics, product, and engineering to bring smart systems to life Stay hands-on with ML models, data pipelines, and deployment Keep us ahead of the curve in AI innovation What You’ll Need Experience leading AI or ML teams (ideally … in robotics or autonomous systems) Deep knowledge of CV, deep learning, RL or SLAM Strong Python and ML stack (PyTorch, TensorFlow, etc.) Startup mindset: hands-on, agile, and impact-driven Why Join Us Competitive salary + equity Hybrid working with an awesome London HQ Work with smart, ambitious people More ❯

supportive environment where best practices are shared, and continuous improvement is encouraged. Career Growth: We will invest in our team’s development through continuous learning opportunities and career advancement programs. Impactful Work: Directly contribute to our mission to drive business growth and operational efficiency. Personal Development : We will provide … Business’s Data Estate. Data Product Engineering: Partner with Data Analysts and Data Scientists to gather and meet requirements for developing advanced analytics and machine learning solutions. Data Quality: Establish and conduct audits and validation processes to uphold data accuracy and reliability. Data Architecture: Design and sustain data More ❯

The AI Engineer programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions. AI Engineer apprentices will empower organisations to: Drive AI innovation Optimise business processes Enhance decision-making The AI Engineer programme integrates … live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments. This apprenticeship is designed to launch your More ❯

join with: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to … to liaise between clinicians, vendors, and technical teams. Experience with hybrid data solutions, integrating on-premise and cloud data architectures. Background in data analytics, machine learning, and AI-driven insights for healthcare applications. Knowledge of NHS Digital initiatives, including Shared Care Records, the NHS App, and Population Health More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

directly with customers to understand their needs, shape implementations, and ensure fast, smooth rollouts. You’ll also collaborate closely with the core engineering and ML teams to feed back insights and drive product improvements. This is a hybrid role blending software engineering , solution architecture , product thinking , and customer-facing communication … TypeScript Front-end work using React Cloud infrastructure via AWS APIs, data pipelines, and custom tooling for real-world deployments Opportunity to work with ML/AI systems at the integration level (no prior ML required, but a plus) ? What They’re Looking For: A top-tier academic background - Oxbridge … equity stake - true founding engineer level Direct impact on customer success, product direction, and technical roadmap Work with a world-class team of engineers, ML experts, and operators A chance to define the deployment function at an AI company from day one If you’re a highly capable engineer who More ❯

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 … 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 … 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 £90,000 + typical benefits If you’re an experienced More ❯

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 … 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 More ❯

Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science workflows Proven ability to deliver end-to-end data solutions Knowledge of Terraform, Ansible, or similar IaC tools More ❯

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 More ❯

familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) A passion for social impact and a drive to help us succeed Bonus points if you have: Experience working with public sector clients Familiarity with More ❯

responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn More ❯

science or machine learning A strong Master’s or PhD in Maths, AI, or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role More ❯

and scalable environments. Lead and manage an offshore team developing middleware APIs to monitor system health. Engage with our growing community of Python and Machine Learning developers, promoting best practices. What You Bring Former Software Engineer or strong understanding of OOP. Hands-on experience with CI/CD More ❯

our software vulnerability management and bug bounty programs Work cross-functionally to identify risks and improve security posture continuously Support cloud-native app and ML security efforts across Azure and AWS Own AppSec policies, incident response processes, and related KPIs/KRIs Key Skills Required: 5+ years in AppSec or More ❯

are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us as a world leader in enzyme design. Description of Your Role We … s established functionality to discover candidate libraries for testing/development by the wider team, and re-integrate experimental data into Zeus to facilitate ML-based protein engineering strategies. What You’ll Do in This Role This role involves use and continued development of our cutting-edge proprietary candidate discovery … structure, predicted stability, and other proprietary metrics of lead candidate suitability presented from the Zeus platform. - You will generate derivatives of these candidates using ML-guided proprietary computational tools previously developed and implemented on the Zeus platform. - You will lead integration of experimental data into Zeus to optimise candidate selection More ❯

Workplace psychology explores the behavioural, emotional, and cognitive factors that influence performance, collaboration, and well-being in professional settings—key considerations for designing impactful learning experiences. Meanwhile, trends in the new work-ready generation highlight the evolving skills, values, and expectations of younger learners entering the workforce, such as … organisational culture (e.g., collaboration vs. competition). Explore how these factors can be taught or reinforced through online education, such as via scenario-based learning or reflective exercises. Analyse the skills profile of Generation Z and beyond, including technical competencies (e.g., coding, data analysis) and soft skills (e.g., adaptability … critical thinking). Examine their educational preferences, such as demand for short-form content (micro-credentials), gamified learning, or peer-to-peer collaboration. Assess their workplace expectations, including remote work readiness, diversity and inclusion priorities, and career mobility aspirations. 3.2 Develop Evidence-Based Curriculum Enhancements New Course Development : Help More ❯

insurers to model future floods, wildfires, tropical cyclones, and more. The BirdsEyeView technology ecosystem includes a massive climate data infrastructure, scalable product development, and machine learning data cleansing and ingestion. By combining all these factors, BirdsEyeView helps underwriters assess their exposures to growing climate-change-induced natural catastrophes. … preferred. 2+ years relevant experience. Proven experience in Data Engineering or Solution Architecture, preferably in AWS. Strong proficiency in Python for data manipulation and machine learning. Experience working with large and complex geospatial datasets. Understanding of web systems architecture, design, and development. Ability to work autonomously with excellent time More ❯

field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Proven track record of designing, implementing, and optimizing algorithmic trading strategies. Proficient in machine learning techniques and tools. Excellent analytical and problem-solving skills. Strong coding skills in languages such as Python, C++, or Java. Ability to More ❯

field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Proven track record of designing, implementing, and optimizing algorithmic trading strategies. Proficient in machine learning techniques and tools. Excellent analytical and problem-solving skills. Strong coding skills in languages such as Python, C++, or Java. Ability to More ❯

data scientists. Strong grasp of linear regression, statistical modeling, and data processing best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus. Familiarity with Docker, time series forecasting, or LLM technologies is advantageous. A background or exposure 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 ❯