1 to 25 of 80 Machine Learning Jobs in High Wycombe

Social network you want to login/join with: Senior Machine Learning Engineer, high wycombe col-narrow-left Client: Location: high wycombe, 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 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape … paced, high-performance environment. ? What You’ll Do Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. … Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking More ❯

Get AI-powered advice on this job and more exclusive features. Software Development & Data Specialist @ Jackson Hogg Responsibilities The Machine Learning Engineer will investigate, implement, and develop novel algorithms using machine learning techniques. They will analyze … data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real and synthetic data, and develop custom ML algorithms to address detection challenges. The role involves using a variety of ML techniques, including deep neural networks. The engineer will deepen their understanding of … software, taking ownership of specific areas of the codebase, and collaborating closely with other developers and scientists. Qualifications & Skills: A good understanding of modern machine learning techniques A good foundation of coding practices, preferably in Python A reasonable proficiency with Python Proficiency with PyTorch or TensorFlow A critical More ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity 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 … and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine … stakeholders. We acknowledge that few candidates meet all criteria—passion for solving complex challenges and willingness to learn are highly valued. Nice to have: Machine Learning experience: Knowledge of generative models, LLMs, multi-modal models, and Deep Learning. Open-source contributions: Participation in open-source projects. Startup experience 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 ❯

Social network you want to login/join with: Graduate Machine Learning Engineer - £30,000, High Wycombe Location: High Wycombe, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 2 Posted: 10.06.2025 Expiry Date: 25.07.2025 Job Description: Edinburgh based role, with one day a week … the office. Salary: up to £30,000 basic Important: Candidates should aim to start between July & August. The role involves working as a Graduate Machine Learning Engineer in an AI company in Edinburgh. Key skills include Passion & Enthusiasm, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. … Responsibilities: Possess foundational knowledge of various machine learning techniques suitable for different data types. Support the implementation of cutting-edge AI/ML techniques to enhance products. Perform exploratory data analysis to identify trends and anomalies. Assist in Proof of Concept projects by analyzing data outputs and assessing More ❯

allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to … on achieving shared goals with a commitment to high-quality outcomes. Skills Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive … methodical approach to problem-solving. Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience More ❯

Description: We are seeking a skilled Data Scientist to help our client develop cutting-edge models in the sports betting industry. This role combines machine learning, software engineering, data science, and mathematics—ideal for someone passionate about innovation and tackling complex challenges. The role is based in Costa … Rica. What You’ll Be Doing: Develop, structure, and maintain robust datasets for machine learning workflows. Create and deploy high-performance algorithms and predictive models for sports modeling initiatives. Collaborate with data scientists, developers, and domain experts to solve real-world problems and optimize outcomes. What You Bring … Proven experience with machine learning techniques, especially neural networks. Strong Python programming skills (Matlab is a plus). Solid understanding of data preparation, feature engineering, and transformation. Professional fluency in English, both written and spoken. A passion for building impactful, scalable tools. Experience in the iGaming industry (B2B 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 ❯

Redshift, Athena, EMR, and QuickSight. Design and build 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. Conduct exploratory data analysis to … preferably with AWS analytics services. Proficiency in AWS analytics tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing, statistical analysis, machine learning. Programming skills in Python, R, or Scala. Experience with SQL and NoSQL databases, visualization tools. Strong analytical and problem-solving skills. Experience with … social media analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker, Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is 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 ❯

an experienced AI Engineer to design and implement intelligent, autonomous AI systems capable of decision-making and task execution. Your work will involve integrating machine learning models with reasoning, planning, and interaction functionalities to create autonomous agents. Role: Design and develop intelligent systems leveraging agentic AI concepts Integrate … advanced machine learning models with reasoning, planning, and interaction modules Utilise prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) architectures Develop and deploy solutions using agent libraries such as Lang Chain, Lang Graph, and Autogen Apply computer vision and document processing techniques to enhance AI capabilities Collaborate … diverse backgrounds, races, ethnicities, religions, ages, marital statuses, genders, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, and learning and development programs to support our global workforce. Empowerment and collaboration are core to our operations. All employment decisions are based on business needs 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 ❯

audits and inspections by maintaining system compliance and driving change management for process enhancements. Process Improvement : Identify and implement automation technologies (e.g., RPA, AI, ML) to enhance TMF quality, standardization, and operational efficiency. Collaboration : Work with TMF COE and Business Operations teams to identify areas for efficiency improvements, address user … particularly eTMF), IT tools, data warehouses, and, ideally, database administration. Familiarity with emerging technologies such as Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI) is a plus. An understanding of TMF content management, clinical trial conduct, drug development processes, and regulatory standards (ICH/GCP 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 ❯