3,961 Machine Learning Scientist jobs in the United Kingdom

This position is posted by Jobgether on behalf of Testlio. We are currently looking for a Senior Machine Learning Scientist in EMEA.

This role is a hands-on, high-impact opportunity to design, develop, and scale advanced AI-powered data products. You will transform large, complex datasets into actionable insights that directly influence product quality, user experience, and business decisions. The position blends applied machine learning, deep learning, and statistical modeling with real-world business impact. You will collaborate closely with engineering and product teams to deliver production-ready ML solutions while contributing to the growth of the data science practice. This is ideal for a curious, creative, and technically skilled scientist who thrives in a remote, collaborative, and fast-paced environment.

Accountabilities

• Partner with engineering and product leaders to define, design, and deliver AI-powered data products.
• Explore, model, and analyze complex datasets using machine learning, deep learning, and statistical methods.
• Prototype, validate, and deploy models into production at scale, ensuring accuracy, fairness, and performance.
• Implement AI techniques such as NLP, predictive analytics, anomaly detection, recommendation systems, and custom model training.
• Translate raw model outputs into clear, actionable insights for customers and internal stakeholders.
• Continuously measure, evaluate, and improve model performance, robustness, and scalability.
• Contribute to building and maturing the data science practice, including tools, processes, and best practices.

Requirements

Technical Skills:

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of experience applying machine learning and statistical modeling to real-world problems, ideally in SaaS or data-intensive environments.
• Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with NLP, predictive modeling, recommendation systems, anomaly detection, and training models from scratch.
• Expertise in data wrangling, feature engineering, and handling large, complex datasets.
• Knowledge of LLMs and SLMs, including architecture, training, fine-tuning (LoRA, QLoRA, SFT), and deployment strategies.
• Experience deploying ML models into production and familiarity with MLOps.
• Proficiency with SQL, cloud platforms (AWS, Azure), and data visualization tools.

Human Skills:

• Curiosity, creativity, and eagerness to experiment with cutting-edge techniques.
• Ability to translate technical outputs into tangible business value.
• Strong collaboration skills and comfort working across teams.
• Adaptability to fast-changing priorities in a scaling environment.
• Mentorship mindset and willingness to share knowledge with teammates.
• Continuous learning and growth-oriented approach to AI/ML advancements.

Benefits

• Fully remote position within EMEA or APAC (excluding high-cost-of-living regions per company policy).
• Competitive compensation package, aligned with experience and market benchmarks.
• Flexible paid time off, including personal days, sick days, and national holidays.
• Stock options and participation in company growth.
• $300 annual learning stipend for personal and professional development.
• Opportunity to work with large-scale, high-impact datasets.
• Collaborative, inclusive, and purpose-driven team culture.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

This position is posted by Jobgether on behalf of Zendesk. We are currently looking for a Staff Machine Learning Scientist in Germany, United Kingdom, Ireland, Denmark, Poland, or Portugal .

This role offers the opportunity to work at the forefront of conversational AI, shaping the future of intelligent customer interactions. You will be joining a senior-level team tasked with bridging cutting-edge ML research and real-world product impact. The position combines innovation, prototyping, and leadership, giving you the freedom to explore new ideas while mentoring peers and setting high standards for research excellence. You will collaborate closely with cross-functional teams, influence product direction, and contribute to building AI systems capable of reasoning, planning, and adapting in real time.

Accountabilities

• Drive innovation by exploring and championing new product ideas and research directions that shape the AI roadmap.
• Lead rapid prototyping, translating business requirements into technical solutions and validating hypotheses through experimentation.
• Define and standardize research practices, establishing robust evaluation methods for AI agent performance.
• Mentor scientists and engineers, empowering the team to solve complex challenges and grow their technical expertise.
• Own end-to-end projects, from ideation through implementation and reporting, ensuring measurable business impact.
• Stay ahead of emerging ML and NLP advancements, integrating new concepts into research and product development.
• Foster a culture of collaboration by peer-reviewing research and sharing knowledge across teams.

Requirements

• Proven track record in Machine Learning or NLP research, ideally with senior industry experience.
• Deep expertise in designing and implementing neural network architectures, particularly in NLP.
• Strong background with Generative AI, including LLMs, prompt engineering, and context management for AI agents.
• Experience with conversational AI and voice technologies such as TTS or STS is highly desirable.
• Excellent collaboration and communication skills, with the ability to translate complex ideas for both technical and non-technical stakeholders.
• A degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field.
• Demonstrated ability to mentor peers, influence strategy, and contribute to a culture of innovation.

Benefits

• Competitive compensation package with performance-based incentives.
• Flexible hybrid or remote work arrangements across multiple European locations.
• Comprehensive health and wellness coverage.
• Learning and development programs to support career growth.
• Inclusive culture with a strong commitment to diversity, equity, and inclusion.
• Opportunities to work with cutting-edge AI technologies and influence product strategy at scale.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

• Conduct advanced research in machine learning, deep learning, and related AI fields.
• Develop, implement, and test novel algorithms and models for various AI applications.
• Analyze and interpret large datasets to extract actionable insights and train models.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI research and publish findings in leading conferences and journals.
• Design and execute experiments to validate hypotheses and measure model performance.
• Contribute to the strategic direction of AI research initiatives.
• Mentor junior researchers and engineers in the field of AI.
• Develop and maintain efficient, scalable code for AI models and experiments.
• Present research findings to technical and non-technical audiences.
• Identify new opportunities for applying AI and machine learning technologies.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven track record of research and development in machine learning, with publications in reputable venues.
• Strong theoretical understanding of machine learning algorithms, including deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Experience with data manipulation, feature engineering, and model evaluation techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities, with the capacity to explain complex concepts.
• Ability to work independently and contribute effectively to a team environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Knowledge of natural language processing (NLP) or computer vision is desirable.

• Conduct research in AI and Machine Learning.
• Develop and implement advanced ML models and algorithms.
• Experiment with deep learning frameworks (TensorFlow, PyTorch).
• Analyze large datasets and extract insights.
• Collaborate with engineering teams for product integration.
• Stay updated on AI research and industry trends.
• Publish research findings and present work.
• Contribute to the development of AI strategies.
• Evaluate and optimize model performance.

• Ph.D. or Master's degree in AI, ML, Computer Science, or related field.
• Proven research experience and publications in AI/ML.
• Strong theoretical and practical understanding of ML algorithms.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with data analysis and visualization.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team.
• Strong written and verbal communication skills.
• Experience with cloud platforms is a plus.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience in machine learning research and development.
• Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
• Experience with data manipulation and analysis tools.
• Strong publication record in relevant AI/ML conferences or journals is a plus.
• Excellent communication and presentation skills.

• Conduct advanced research in machine learning, deep learning, and artificial intelligence.
• Develop, implement, and evaluate novel algorithms and models for various AI applications.
• Design and execute experiments to test hypotheses and validate research findings.
• Collaborate with cross-functional teams to integrate AI solutions into products and services.
• Analyse large datasets to identify patterns, extract insights, and train machine learning models.
• Write high-quality research papers, technical reports, and documentation for publication and internal use.
• Stay abreast of the latest research and developments in AI and machine learning fields.
• Contribute to the intellectual property and patent applications of the company.
• Mentor junior researchers and contribute to the team's technical growth.
• Present research findings at conferences and to stakeholders.
• Optimise algorithms for performance and scalability.
• Ensure ethical considerations and best practices are applied in AI development.

• Conducting cutting-edge research in machine learning, deep learning, and artificial intelligence.
• Developing, training, and evaluating novel ML models for various applications, including computer vision, natural language processing, and predictive analytics.
• Implementing algorithms and prototypes using Python and relevant ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Collaborating with engineering teams to integrate AI models into production systems and products.
• Analyzing large datasets to extract insights and identify patterns for model improvement.
• Staying abreast of the latest advancements and research in AI and ML fields.
• Publishing research findings in leading conferences and journals.
• Mentoring junior researchers and contributing to the team's technical growth.
• Developing and testing new AI architectures and approaches.
• Ensuring the ethical development and deployment of AI technologies.

• Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
• Develop and implement novel algorithms and models for complex problem-solving.
• Design and execute experiments to validate research hypotheses and evaluate model performance.
• Collaborate with a team of world-class researchers and engineers to advance AI capabilities.
• Publish research findings in leading academic conferences and journals.
• Develop prototypes and proof-of-concepts for new AI technologies.
• Analyze large datasets to identify patterns, insights, and opportunities for AI integration.
• Stay current with the latest advancements in the field of AI and machine learning.
• Contribute to the development of intellectual property and patents.
• Mentor junior researchers and contribute to a collaborative research environment.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and publication in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR).
• Deep understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., scikit-learn, NumPy, Pandas).
• Experience with large-scale data processing and distributed computing.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts.
• Demonstrated ability to work independently and collaboratively in a remote research setting.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.