1 to 25 of 69 Machine Learning Jobs in Northamptonshire

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: Senior Machine Learning Engineer, northampton col-narrow-left Client: Location: northampton, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior … Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy More ❯

the role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written by our Data Scientists into Production-ready software … according to agreed performance and cost criteria. You’ll play a key role ensuring that ML/AI projects are setup for success via the automation of residual manual steps in the development and production lifecycle. You’ll also provide essential insights into the ongoing predictive capability and cost of … deployed ML/AI assets using language and visualisations appropriate for your audience. It’s an opportunity to work across multiple projects concurrently. You’ll use your judgement to determine which projects and teams need most of your time. You’ll contribute to early engagements through strong communication skills, domain More ❯

join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely 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 predictive modelling. You … 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 … 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 More ❯

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 … . 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 ❯

and supply chain software. Data Mastery: Utilise your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. Cutting-Edge Tools: Leverage advanced AI tools … platforms to support scalable, robust data solutions.What We're Looking For: Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. Machine Learning Expertise: Proven track record in developing and deploying machine learning models. Data Platform Experience: Solid understanding of data platforms and … week ago Towcester, England, United Kingdom 2 weeks ago RC317 - Head of Applied Data Science & Strategy Milton Keynes, England, United Kingdom 3 weeks ago ML Engineer (Series C Silicon Valley startup 70mil funding) Data Science Senior Analyst - Strategic Insight Unit Deputy Director, Data Engineering, Data Science and AI Senior SDET More ❯

Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity Company: We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. Role Overview: The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team, but no background in Machine Learning is required. … of engaging with both technical and non-technical stakeholders. We understand no candidate checks every box; passion for solving complex challenges and openness to learning are valued. Nice to Have: Experience with Machine Learning, including generative models, LLMs, multi-modal models, and Deep Learning. Contributions to open More ❯

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 … 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 More ❯

visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer … AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather … than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an More ❯

and supply chain software. Data Mastery: Utilise your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. Cutting-Edge Tools: Leverage advanced AI tools … to support scalable, robust data solutions. What We're Looking For: Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. Machine Learning Expertise: Proven track record in developing and deploying machine learning models. Data Platform Experience: Solid understanding of data platforms and … Widows) and life assurance (2x basic salary). Perks & Benefits: Access to Perkbox and Medicash, and eligibility to join our electric vehicle scheme. Continuous Learning: Exposure to new technology with company-sponsored learning and development opportunities. Why Join Us? At our company, we are constantly evolving and staying 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 ❯

build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and … Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases … media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices in AWS. 12Excellent communication and collaboration More ❯

Solutions Architect, where you'll be part of the Climate and Sustainability team. We are looking for a Solution Architect with proven AI and Machine Learning experience. You’ll benefit from collaborating with industry leaders and experts within a vast professional network. Key Qualifications: Experience with systems architecture … cloud computing, machine learning, and deep learning algorithms, capable of tailoring solutions to data and technology challenges. Proficiency with cloud platforms like AWS, Azure, or GCP. Ability to communicate technical concepts effectively to both technical and non-technical audiences, and to collaborate with diverse teams and stakeholders. … Skills: Leadership—Influencing decision-making and guiding technology projects. Business Acumen—Understanding business processes, industry trends, and market needs to develop aligned solutions. Continuous Learning—Staying current with new technologies and driving innovation. This role will be based in our Northampton office. Purpose of the role: To manage change 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 ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery More ❯

with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive … quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross … skill in AI and contribute to a culture of learning, excellence, and collaboration. Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Loyalty award scheme 24/7 access to EAP including Wisdom AI app Access More ❯

join us on our mission. What You’ll Be Doing: Designing and implementing NLP approaches to extract new insights from unstructured text data Training machine learning models to automatically categorise text Investigating new approaches to problems, exploring the literature, and actively following the cutting-edge of research Communicating … Looking For: Must have 3+ years experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific More ❯

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 for predictive analytics. Exceptional analytical skills, with a focus on data-driven decision-making. High ethical standards and a commitment to maintaining the firm's reputation for integrity. At Onyx Alpha Partners, we are committed to connecting the most sought after talent in the financial More ❯

AI projects pushing the boundaries of content creation. We are searching for someone with knowledge of compilers to evaluate and improve performance of different machine learning frameworks. Applying advanced graph optimization techniques to maximize utilization of GPU HW resources. If you hold experience working with Compilation technologies and …/OpenSource/Linux/C/C++/Low level/Hardware/debuggers/Fortran/OpenCL/CUDA/MLIR/Machine Learning/GPU/GPGPU By applying to this role you understand that we may collect your personal data and store and process 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 ❯

to join the UK team. About the Role As a Forward Deployed Engineer, you'll collaborate directly with customers to understand challenges and engineer ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimization, scalability, and efficiency. You … from world-class tech companies like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub, and Uber. Key Responsibilities Partner with customers to identify and address their ML deployment needs. Implement and optimize ML solutions using Python, open-source tools, and infrastructure. Collaborate with cross-functional teams to enhance product features based on … in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer. Some interest or experience with the lifecycle of ML model development and deployment. Computer Science degree or similar field of study. Excellent English communication skills with proven experience liaising effectively with customers (other software More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, northampton col-narrow-left Client: WMtech Location: northampton, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 16 Posted … 06.06.2025 Expiry Date: 21.07.2025 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 ❯