126 to 150 of 558 Machine Learning Jobs in Central London

products that empower smarter financial decisions. Title - Lead Data Scientist Hybrid - 3 days onsite Location - London Key Responsibilities Lead the development and deployment of machine learning models and advanced analytics solutions. Collaborate cross-functionally to identify and prioritize data science opportunities. Build and mentor a high-performing data … practices for experimentation, model validation, and deployment. Communicate complex data insights to technical and non-technical stakeholders. Stay current with trends in data science, machine learning, and financial technologies. Requirements Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. 5–10 years of experience … package. Flexible working hours and hybrid work environment. Opportunity to shape the future of finance with cutting-edge technology. Collaborative, mission-driven team culture. Learning and development budget to support your growth. More ❯

their digital function. We're looking for individuals who have experience across data engineering, data science, and product development projects. Knowledge of data mining, machine learning, and natural language processing is an advantage. Skills they're looking for... Python Strong analytical and problem-solving skills with deep expertise … in data modeling, ETL processes, data warehousing, and machine learning lifecycle management. Strong experience with Data Lakes SQL Building and managing fully automated data pipelines (ETL, ELT, ELTL) including: Designing and building data interfaces to source systems Combining and transforming data into the appropriate format for storage Developing More ❯

their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate … appropriately modelling these Experience with various statistical-based techniques to uncover data insight Some experience with Data Engineering e.g. building data pipelines Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to £75,000 depending on experience Discretionary bonus More ❯

Top-tier hedge fund is looking for an ML Researcher with strong NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines … and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯

to steepen your learning curve rapidly, learn from industry mavericks and go deep into product development. Role Overview As a founding AI/ML/CV Development engineer, you will be amongst a small but steadily growing R&D team of the industry's finest, as product innovation is … at its highest. You will need to be independently capable of building and implementing machine learning and computer vision software solutions aligned to the product roadmap and future … pivots, whilst seeking the mentorship of those around you to challenge your own learning. Responsibilities: Design and implementation of scalable, high-performance AI/ML/CV software. Collaborate with cross-functional teams to define and deliver new features. Optimize code for performance, reliability, and maintainability. Contribute to a culture More ❯

on the development and implementation of appropriate solutions. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud (e.g. on Azure, AWS or GCP), depending on what’s best for … and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience with Data Engineering e.g. building data pipelines Experience developing machine learning algorithms Excellent communication and requirements gathering skills Experience working for a consultancy is desirable but not essential Eligibility for SC Clearance Benefits More ❯

the infrastructure that powers our cutting-edge AI models, from training to deployment. You will be at the heart of our operations, ensuring our machine learning lifecycle is efficient, scalable, and robust. Key responsibilities include: Designing, building, and maintaining our MLOps infrastructure on cloud platforms like GCP and … user base. 🛠️ Skills and Experience 5+ years of experience in a DevOps, SRE, or MLOps role. Strong proficiency in Python and extensive experience with ML frameworks like PyTorch. Proven experience building and managing CI/CD pipelines for machine learning systems. Deep expertise with containerization ( Docker ) and orchestration More ❯

where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be … the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design …/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong More ❯

model development Build comprehensive testing and validation frameworks for pricing models Advanced Modelling & Analytics: Develop sophisticated pricing models incorporating cutting-edge actuarial techniques Implement machine learning and AI solutions for pricing optimisation Create advanced analytics dashboards and reporting capabilities Design calculation engines for Risk Prices and Market prices … written and verbal communication skills, with ability to explain complex technical concepts Highly desirable experience Experience with pricing platform development or implementation Knowledge of machine learning techniques and their application to insurance pricing Familiarity with catastrophe modelling software (e.g., RMS, AIR) Experience with data visualisation tools (e.g., Tableau More ❯

global brands make smarter decisions across retail. The Role You’ll take ownership of the full data lifecycle, from sourcing and modelling to deploying machine learning and AI solutions. You'll explore the use of LLMs and advanced analytics to enhance both internal tools and client-facing features. … play a central role in product strategy and cross-functional collaboration. Key Focus Areas Build and maintain data pipelines and infrastructure Develop and deploy ML models, including LLM-driven tools Manage, coach and grow the data team Align data strategy with business goals and product roadmap Identify opportunities for automation … and innovation Stay up to date with the latest in AI and machine learning What You’ll Need Strong experience leading end-to-end data science projects Proficiency in Python and SQL Solid knowledge of data modelling, ETL and cloud platforms (Azure ideal) Experience with LLMs or similar More ❯

working with cross-functional teams, and overseeing the entire product lifecycle. Strong understanding of data technologies such as cloud platforms, data processing frameworks, and machine learning tools. Experience working within agile methodologies and managing stakeholder expectations effectively in dynamic environments. Familiarity with data-driven product development and delivering … product vision and roadmap that aligns with business goals. Knowledge of data technologies, including cloud platforms (AWS, Azure, Google Cloud), data processing frameworks, and machine learning tools. Proficient in understanding technical constraints and collaborating with data science and engineering teams to meet product requirements. Experience working with agile More ❯

companies and world-renowned universities like Oxford and Cambridge. This Research Engineering role combines system design, prototyping and development. The systems built will include machine learning, generative AI and applied maths approaches as you solve problems for online self-directed learners. What you’ll need: Proven track record … in software development with machine learning and computational mathematics in research-focused environments 5+ years of professional software engineering experience with strong Python expertise Experience building innovative products from concept to deployment (e.g. working as a research engineer on cutting-edge product development) Hands-on experience in architecting More ❯

proven experience in data science where you can bring your experience to the role whilst being willing to try new approaches and have a learning mindset. As a Lead Data Science Manager, you will have strong proven experience in leading data science teams that have a strong record of … in a data science, mathematics, statistics, computer science or related field, and a track record which demonstrates capability in these areas; extensive experience in machine learning, big data technologies and a range of data science techniques; proven leadership in managing data science teams and delivering AI-driven solutions … in model deployment, MLOps, CI/CD and cloud-based architectures; the ability to translate business challenges into data engineering and data science/machine learning problems; strong stakeholder management and communication skills; strong influencing skills and the ability to lead professional business relationships at various levels across More ❯

AI Engineer to design and implement intelligent, agentic AI systems capable of autonomous decision-making and task execution. Your work will involve integrating sophisticated machine learning models with reasoning, planning, and interaction functionalities to create truly 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 … across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron More ❯

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product … design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components More ❯

and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation … ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. More ❯

and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation … ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. More ❯

unsecured lending and secured lending. You will be working with experts across the industry to validate risk models across the business using AI and Machine learning modelling. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using … analytics skills to improve credit risk models and model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To More ❯

insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to … post-marketing surveillance. We are committed to invest in continuously enhancing our validated and peer reviewed disease optimised machine learning Ai analytics services and our infrastructure and technology to support our ambitious growth strategy. Our people are empowered to enable us to achieve our company goals and their More ❯

they are now hiring exceptional talent to build out their Data Science team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software to ecommerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven platform. … tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy … paced, rapid growth culture. Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems. A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment. More ❯

their knowledge across Python, cloud technologies (AWS), databases, Kubernetes, Terraform and microservice architecture to design and build key platforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data. The Company The Senior Software Engineer will join an innovative Machine Learning … that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don More ❯

of data scientists, analysts, and data engineers, fostering a culture of innovation and continuous learning. Oversee the end-to-end delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation. Establish robust data governance, quality, and compliance frameworks, ensuring the … Experience Proven leadership in data science/analytics within a large-scale, customer-centric organisation (telecoms experience preferred). Deep expertise in advanced analytics, machine learning, and AI, with a track record of delivering business value through data. Strong understanding of data governance, security, and compliance in regulated More ❯

football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to … predict the outcomes of sports events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform More ❯

insights and leveraging AI solutions. This role is ideal for a strategic technical leader who combines deep technical expertise in data science, analytics, and machine learning with proven commercial experience and business development capabilities. The ideal candidate will drive revenue growth across our target markets, identifying new opportunities … growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data More ❯

initiatives in natural language processing, focusing on designing, implementing, and fine-tuning large language models Develop novel approaches to code understanding and analysis using ML/NLP models Create and evaluate representations that combine source code with natural language elements Conduct experiments and literature reviews to enhance our language modeling … in NLP subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development Experience with data preprocessing, feature engineering, and model evaluation Experience in financial services industry What's In It … Opportunity to make significant impact in the NLP field and contribute to innovative solutions Work with state-of-the-art technologies and methodologies in machine learning and NLP Please apply now for immediate consideration More ❯