What Jobs are available for Machine Learning Developer in London?

Overview

Dynamic Works is headquartered in Nicosia, Cyprus, with offices in Limassol. Since 2003, Dynamic Works has grown into an award-winning, internationally recognized Unified Online Business Solutions Provider, delivering websites and web applications for the Financial Services Industry, the Cyprus Government, and other verticals for startups and influential brands.

• Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to understand business requirements and identify AI opportunities.
• Handle data processing and analytical tasks to prepare data for AI and machine learning applications.
• Evaluate, refine, and improve the efficacy and accuracy of AI models through rigorous testing.
• Stay current with AI and machine learning developments and integrate cutting-edge technologies into initiatives.
• Document and communicate the development journey of models, findings, and insights to both technical and non-technical stakeholders.
• Champion the ethical deployment of AI, ensuring adherence to data privacy standards and regulations.

• A university degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Proven experience designing, developing, and deploying machine learning models and AI algorithms.
• Strong proficiency in programming languages such as Python, R, or Java.
• Solid understanding of data processing, feature engineering, and data analytics.
• Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers.
• Strong problem-solving skills with attention to detail and the ability to work with complex datasets.
• Knowledge of data privacy standards, ethical AI practices, and regulatory compliance.

• Competitive salary package: We offer a salary that truly appreciates your expertise and hard work.
• A collaborative team: Join a tech team that thrives on creativity, innovation, and teamwork—we believe in making magic together.
• Our premises: Work in a modern, vibrant space that sparks creativity and collaboration.
• Coffee, snacks, & more: Grab a caffeine boost, indulge in tasty snacks.
• Team outings & celebrations: From company events to spontaneous celebrations, we keep the fun rolling.
• Structured growth opportunities: Our annual performance appraisals map out ongoing support to help you climb higher.
• Learning and development: Access to internal and external courses, certifications, and industry events to stay ahead of the curve.
• Early finish on Fridays: We wrap up at 15:00 every Friday, so you can kickstart your weekend.
• 21 days of annual leave: Paid time off with the option to roll over unused days where permitted by Cyprus regulation.
• Wellness perks: Access to a variety of fitness memberships to support your well-being.
• Private medical insurance: Health coverage for you.
• Discretionary rewards reflecting your value: Bonuses or incentives based on performance and company success.

Ready to join our team? Apply now!

All applications are treated confidentially. By filling in the online application form, you confirm that you have read, understood, and accepted the Privacy Policy. We are fully GDPR compliant and committed to safeguarding personal data.

Overview

Machine Learning/Artificial Intelligence Developer

Dynamic Works launched in 2003 and has quickly grew into an award-winning, internationally recognized Unified Online Business Solutions Provider, creating a host of websites and web applications for the Financial Services Industry, the Republic of Cyprus Government, and for a host of other verticals for startups and highly influential international brands. Dynamic Works is headquartered in Nicosia, Cyprus, and we also have offices in Limassol, Cyprus.

What it is like to work for Dynamic Works?

Simply put, working for Dynamic Works will be one of the most enjoyable experiences you are likely to have! Our team is what drives us, moves us, shapes us. Our team is what makes Dynamic Works what it is!

When it comes to adding to our team of highly skilled individuals, we pick talented individuals who are proud to think disruptively and who never settle for second best. Dynamic Works is action-packed with ‘out of the box’ thinkers, and our 50+ team members are truly valued, respected, and loved.

You want to be a part of something like this, right?

If you are ready to bring your expertise to our team and contribute real value by thinking outside the box and implementing cutting-edge trends and innovations, we want to hear from you!

We are currently looking to recruit a motivated and skilled Machine Learning AI Developer who is eager to make a real impact. If you are ready to be a key part of our team at our Nicosia office, we would love to meet you and discuss how you can contribute to our success!

The role:

• Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives.
• Engage in active collaboration with cross-functional teams, including data scientists, engineers, and product managers, to comprehend business requirements and pinpoint AI application opportunities.
• Undertake the data processing and analytical tasks necessary to prep data for AI and machine learning applications.
• Consistently evaluate, refine, and amplify the efficacy and accuracy of AI models through rigorous testing.
• Keep pace with the evolving landscape of AI, machine learning, and associated domains, integrating avant-garde technologies into our initiatives.
• Compile, document, and articulate the development journey of models, findings, and insights to stakeholders across the technical and non-technical spectrum.
• Champion the ethical deployment of AI technologies, ensuring strict adherence to data privacy standards and regulations.

What we are looking for:

• A university degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Proven experience in designing, developing, and deploying machine learning models and AI algorithms.
• Strong proficiency in programming languages such as Python, R, or Java.
• Solid understanding of data processing, feature engineering, and data analytics.
• Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers.
• Strong problem-solving skills with attention to detail and the ability to handle complex datasets.
• Knowledge of data privacy standards, ethical AI practices, and regulatory compliance.

Competitive salary package: We offer a salary that truly appreciates your expertise and hard work.

A collaborative team: Join a tech team that thrives on creativity, innovation, and teamwork — we believe in making magic together.

Our premises: Work in a modern, vibrant space that sparks creativity and collaboration.

Coffee, snacks, & more: Grab a caffeine boost, indulge in tasty snacks.

Team outings & Celebrations : From company events to spontaneous celebrations, we keep the fun rolling!

Structured growth opportunities : Our annual performance appraisals help map out ongoing support to help you climb higher.

Learning and Development: Access to internal and external courses, certifications, and industry events to stay ahead of the curve and be the best at what you do.

Early finish on Fridays: We wrap up at 15:00 every Friday, so you can kickstart your weekend!

21 Days of annual leave: Take time to recharge with 21 days of paid time off, allowing you to enjoy life outside of work, with the option to roll over unused days to the next year as permitted by Cyprus regulation.

Wellness Perks: Stay active and prioritize your well-being with access to a variety of fitness memberships to keep both your body and mind in top condition.

Private medical insurance: We have got you covered when it comes to your health and well-being.

Discretionary rewards that reflect your value: Bonuses or incentives, at the discretion of the employer, awarded based on individual performance and the company’s overall success.

Ready to join our Team? Apply now!

All applications are treated confidentially, and by filling in the online application form, you confirm that you have read, understood, and accepted the Privacy Policy. We are fully GDPR compliant here at Dynamic Works and take the storing of one’s personal data very seriously.

Senior Research Engineer, Deep Learning for Cancer Genomics

Join to apply for the Senior Research Engineer, Deep Learning for Cancer Genomics role at InstaDeep

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. We are a Google Cloud Partner and an NVIDIA Elite Service Delivery Partner with offices worldwide. We collaborate with Google DeepMind, MIT, Stanford, Oxford, UCL, and Imperial College London. We are part of BioNTech and operate with a hybrid work model to encourage collaboration and innovation.

As a Senior Research Engineer you’ll be part of the BioAI department, collaborating with research engineers and computational geneticists. You will lead and contribute to the development of new approaches in cancer genomics research with deep learning, and related domains, applying your technical, analytical, research, and management skills. You will understand underlying bioinformatics tools and follow the latest developments in machine learning at scale to identify technologies and set directions to solve problems, improve solutions, and participate in deployment. You will lead and collaborate with a multi-functional team, experiment with different approaches, analyze and communicate results, deliver proofs of concepts, and ensure continuous improvement and maintenance for validated solutions. You will also be responsible for writing high-quality, maintainable, well-documented, and modular software libraries.

Keywords: Machine Learning, Deep Learning, Language Models, Graph Neural Networks, Computational Genomics, Statistics, Data Analysis, High-Performance Computing

Responsibilities

• Create momentum around new initiatives and set the technical direction for solving hard technical problems.
• Help set technical directions within research and development projects, provide mentorship to colleagues, and tackle larger and more complex research and engineering problems.
• Manage other engineers or become a go-to expert in one or more technical areas.
• Design, implement and deliver performant and scalable algorithms based on state-of-the-art ML and neural network methodologies using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.).
• Conduct rigorous data analysis and statistical modelling to explain and improve models.
• Report results clearly and efficiently, both internally and externally, verbally and in writing.
• Follow and communicate the latest developments in machine learning and cancer genomics.
• Collaborate with the business development team in pre-sales activities, including presenting the company to prospective clients, writing decks and proposals, participating in calls and meetings, and representing InstaDeep in conferences/events.

Requirements

• At least 3 years of experience in machine learning and deep learning (NLP and computer vision) in industry.
• Experience with management, mentoring, and coaching small to medium teams and/or leading projects.
• Master, PhD degree or equivalent in applied mathematics, computer science, bioinformatics or related fields.
• Proficiency in software engineering (Python, PyTorch, JAX, Docker, Linux).
• Willingness to learn and develop skills in computational genomics, including understanding biological concepts related to cancer.
• Excellent communication skills in English.
• Appropriate work permit for the UK (or Europe).

Nice to have

• Knowledge in immunology, proteomics, and computer vision.
• Knowledge in molecular biology, biochemistry, structural biology, or related disciplines.
• Experience with high-performance computing or MLOps.

Our commitment to our people

We empower individuals to celebrate their uniqueness at InstaDeep. We value diversity and encourage applicants from underrepresented groups. We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage collaboration and innovation.

Right to work: You will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.

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Direct message the job poster from Enigma

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams.

Key Responsibilities

• ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events.
• Project Leadership : Take ownership of major initiatives that drive value for users and the business, aligning with quarterly team objectives.
• Collaborative Development : Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements.
• ML Lifecycle Optimization : Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring.

Location and Flexibility

This role is open to candidates based within commuting distance of a London office. While in-office presence is not currently required, flexible working is supported.

Required Qualifications

• Strong experience with C++ and Python .
• Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS .
• Demonstrated success in building and maintaining production-scale AI/ML systems .
• A track record of collaborating with product teams to deliver user-impactful solutions.

Preferred Qualifications

• Experience using AI/ML in the sports domain to create insights or data.
• Advanced systems knowledge, such as:
• Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM ).
• System optimization for latency and utilization , using tools like Nvidia NSight .
• Working with embedded SoCs (e.g., Nvidia, Qualcomm).

What You’ll Get

• Flexibility and Balance : A range of benefits to support work-life harmony, including flexible vacation policies, company holidays, and meeting-free days.
• Autonomy and Ownership : A culture of trust and support that allows you to own your work and explore new ideas.
• Career Growth : Access to development opportunities, resources, and learning programs.
• Tech-Enabled Work : Whether remote or on-site, we provide the tools and environment you need to thrive.
• Wellbeing Support : Resources to support your mental, physical, and financial wellbeing, including access to assistance programs and employee communities.

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Sports Teams and Clubs and Spectator Sports

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At Deliveroo, we have an outstanding data science organization dedicated to enabling high-quality human and machine decision-making. Our team collaborates across product, business, and platform teams, utilizing analysis, experimentation, causal inference, and machine learning techniques. We leverage data to inform better decisions and enhance data literacy throughout Deliveroo.

Our data scientists develop analytical tools, inform decision-making at all levels, run experiments, perform causal analysis, build production machine learning and optimization models, and promote data literacy. They come from diverse backgrounds, with many formally trained in data science, but excellence is the common trait.

We seek a data science manager to join our management team. The ideal candidate will:

1. Have experience managing data scientists and guiding their career development.
2. Possess hands-on experience as a senior-level individual contributor, familiar with experimentation, causal analysis, and data visualization methods.
3. Identify opportunities where data science can add value, translating insights into strategies and execution plans.
4. Work effectively with stakeholders up to C-level, guiding strategy and explaining technical solutions clearly.
5. Lead diverse teams, fostering cohesion and high performance.
6. Manage multiple teams across business areas, prioritizing ruthlessly.
7. Thrive in a fast-paced, dynamic environment with high standards.
8. Maintain a pragmatic, flexible approach focused on impact.

We prioritize our people's welfare, offering benefits such as healthcare, parental leave, pensions, and generous annual leave. Benefits vary by country; please contact your recruiter for details.

We believe a diverse workplace reflects the world we live in. We welcome all backgrounds and identities and are committed to equitable hiring and interview practices. If adjustments are needed during the application process, please let us know.

1. Competitive pay based on role and location, with potential bonuses and relocation support.
2. Up to 5% matched pension contributions.
3. Share awards for eligible roles, providing ownership in Deliveroo.
4. Perks include free Deliveroo Plus, team lunches, generous leave, healthcare, gym memberships, wellbeing apps, insurance options, and life assurance.
5. Work-life benefits include parental leave, home office equipment, mortgage advice, travel schemes, and learning opportunities.

Data Idols is excited to be partnering with a cutting-edge technology startup that’s scaling fast and putting data at the heart of everything they do. We’re on the lookout for a Data Science Manager to lead a talented team, build intelligent products, and drive data-led innovation across the business.

As the Data Science Manager, you’ll take ownership of the data science roadmap, leading projects from experimentation through to production, while mentoring a growing team of scientists and analysts. You’ll work closely with product, engineering, and commercial teams to deliver models that power key features and optimise user experience.

This is a hands-on leadership role where you’ll balance strategic thinking with technical delivery, all in a fast-paced, startup environment where your ideas will have real impact.

• Hybrid working with a central London office
• Healthcare
• Direct influence over product and data strategy in a fast-growing startup
• A collaborative culture , where experimentation and learning are encouraged
• Access to ongoing professional development , leadership support, and growth opportunities

• Strong experience in data science , ideally in a fast-moving or product-led environment

• Proficient in Python and familiar with modern ML tools and techniques

• Comfortable working across the full ML lifecycle, from experimentation to deployment

• Proven experience leading or mentoring other data scientists

• Strong communication and stakeholder management skills

If you’re excited about using data science to solve real-world problems in a fast-moving tech environment, and you’re ready to take the next step in your leadership journey, we’d love to hear from you. Click Apply to submit your CV and start the conversation.

18 hours ago Be among the first 25 applicants

At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive.

That's why, since 2016, we've been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are our driving force — they're at the heart of everything we do.

We've sold tens of millions of policies so far, and raised over $200 million in funding. And we're only just getting started.

Who we're looking for

We are looking for a highly motivated Data Scientist, who is keen on building advanced predictive models and joining our growing Core Pricing team. The mission is to build a world-class Data Science team that turns ideas and resolves complex challenges into production-grade pricing and risk models effectively, safely, and consistently.

What you'll do

• Explore & analyse large telematics, policy and quote datasets to uncover trends and opportunities
• Build and validate statistical & machine learning models that power pricing and risk selection
• Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models
• Communicate insights clearly through dashboards, visualisations and storytelling
• Contribute to best practice in code review, experimentation and shaping our ways of working as you grow

What you'll bring

• Recently completed (or soon to complete) Bachelor's or Master's in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics or a related quantitative field
• Strong grounding in probability, statistics and machine learning fundamentals
• Working knowledge of Python (pandas, NumPy, scikit‑learn), and basic SQL
• Curiosity, problem‑solving mindset and the ability to present complex ideas simply
• Right to work in the UK

Nice to have (but not essential)

• Internship or course project involving real‑world data analysis or modelling
• Familiarity with cloud platforms (e.g. AWS) and version control (git)
• Experience with BI / visualisation tools (e.g. Looker)

What's it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever you want.

You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance matter.

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do it well.

We reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for starters!

There's more to Zego than just a job - Check out our blog for insights, stories, and more.

We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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Lead Data Science – Biomedical AI

Location: London (Hybrid, 4 days on-site)

Compensation: Up to £150k + Equity

Lead the future of AI-driven biomedical discovery

We’re seeking a data science leader with strong biological or biomedical expertise to guide a world‑class team applying AI to complex life sciences data.

This is a rare chance to shape the direction of machine learning in drug discovery, biomarker research, and health data analysis, driving both scientific innovation and commercial impact in a mission‑led, high‑growth company.

You’ll work at the intersection of data science, biology, and engineering, translating complex biological questions into scalable AI solutions that advance biomedical research.

• Define and lead the company’s data science strategy across biomedical and life sciences initiatives
• Build and mentor a multidisciplinary team of data scientists, ML engineers, and bioinformaticians
• Develop scalable data pipelines and deploy ML models across diverse biomedical datasets (genomics, proteomics, imaging, clinical data, etc.)
• Ensure scientific integrity, reproducibility, and validation across research and production environments
• Collaborate with biologists, clinicians, and commercial teams to identify high‑impact AI applications
• Represent the company at scientific and AI conferences to drive thought leadership in biomedical AI

• Lead data science at the frontier of AI and biomedical research
• Shape how advanced ML accelerates discovery and improves patient outcomes
• Collaborate with top scientists, engineers, and research partners
• Competitive senior package (up to £150k) + meaningful equity
• Hybrid model: 4 days in London HQ

This is a defining role for a bio‑savvy data science leader ready to drive real scientific progress, applying AI to unlock new understanding of biology, disease, and human health. Apply now!

We're hiring a Data Science Lead in London to build and lead our Predictive Growth Optimization team - pioneering ML models that power our user acquisition strategy, predict lifetime value, and optimise our $25M+ annual marketing spend across channels. This role owns the strategy, development, and continuous improvement of Flo's pLTV system - a mission-critical model reused across UA, AdTech, personalization, and financial forecasting. You'll balance hands-on technical leadership with people management, building production systems that directly impact our growth trajectory.

Flo is the world's #1 health app on a mission to build a better future for female health. Backed by a $00M investment led by General Atlantic, we became the first product of our kind to reach a 1B valuation in 2024 - and we're not slowing down.

We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.

• Lead & develop a team of 4+ ML and Backend engineers - hiring, mentoring, and setting technical direction
• Own pLTV strategy - architect and evolve our core predictive lifetime value models that inform millions in UA decisions
• Build production ML systems - from MMM algorithms to real-time forecasting models handling millions of daily predictions
• Drive cross-functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions
• Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles
• Stay hands-on - contribute to modeling, architecture decisions, and technical problem-solving as needed

• 7+ years applied ML experience building and deploying models in production
• 4+ years managing technical teams (ML engineers, data scientists, or similar)
• Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference
• Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost)
• Growth & Product Experience
• Experience with growth analytics, attribution modeling, or marketing effectiveness
• Understanding of user acquisition funnels and retention optimization
• Comfortable translating business requirements into technical roadmaps
• Strong communication skills - can explain complex models to executive stakeholders
• Production ML Systems
• Experience deploying ML models at scale (millions+ predictions/day)
• Knowledge of MLOps practices: model versioning, monitoring, automated retraining
• Understanding of data engineering fundamentals and cloud platforms
• Experience with Marketing Mix Modeling, attribution, or ad tech
• Background in consumer tech, mobile apps, or health tech
• Knowledge of privacy-preserving ML techniques and A/B testing methodology

• Competitive salary and annual reviews
• Opportunity to participate in Flo's performance incentive scheme
• Paid holiday, sick leave, and female health leave
• Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
• Accelerated professional growth through world-changing work and learning support
• Flexible office + home working, up to 2 months a year working abroad
• 5-week fully paid sabbatical at 5-year Floversary
• Flo Premium for friends & family, plus more health, pension and wellbeing perks