1 to 25 of 175 Machine Learning Jobs in the City of London

services and deliver value to its clients. Description Senior Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio … tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results ...

backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised shopping experiences that … will transform millions of shopping experiences. Real ownership and impact in shaping product and company direction. A dynamic, collaborative work environment with cutting-edge ML challenges. Competitive compensation and equity in a rapidly growing company. If you're an energetic data scientist who thrives in a fast-paced environment ...

this role! You'll help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML Verification packages. Note that this is a Python code focused role, rather than a Data Science role, so Python programming skills are the priority, where as Machine Learning … systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining ...

client, a global consultancy, is seeking Machine Learning Consultants to join their innovative and growing analytics team. You’ll collaborate with top-tier professionals to design and build cutting-edge models that turn data into actionable strategies for some of the world’s most influential organisations. What … Build, test, and deploy advanced machine learning and mathematical models to tackle real-world business challenges. Work closely with clients to deeply understand their needs, diagnose key issues, and translate them into structured analytical solutions. Communicate technical insights in a clear, compelling way to non-technical stakeholders. Collaborate ...

preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders Ensuring data integrity, security, and compliance with internal policies … related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying machine learning models Desirable Experience using a major cloud platform Exposure to big data technologies (e.g. distributed data processing frameworks) Experience with data visualisation tools ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities Design and build production-grade ML infrastructure, including training pipelines, model … serving, and monitoring systems. Collaborate with research engineers to translate experimental models into reliable, maintainable software. Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs). Establish engineering best practices for ML development, including testing, CI/CD, and code review standards. Progression Timeline ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas … conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine ...

skilled AI Engineer to join our dynamic AI Practice. In this role, you will support the development, deployment, and maintenance of AI and ML solutions across various projects in the financial sector. The ideal candidate is passionate about leveraging AI to solve real-world problems, has practical experience with … models. Support ongoing maintenance and iterative improvement of AI models in production environments. Contribute to research initiatives, staying updated on the latest AI and ML advancements. Document project processes and present findings to stakeholders effectively. Qualifications & Skills: 3-5 years of professional experience with AI and Machine Learning ...

complex technical concepts to both technical and non-technical audiences, including scientists, clinicians, operations teams, and business stakeholders. Deep technical fluency across data science, machine learning, and computational biology , ideally with strong experience in bioinformatics, multi-omic analysis, and clinical data. Strong programming and scripting skills (e.g. Python … navigate incomplete or noisy data, iterate rapidly, improvise tools, and take ownership of deployments end-to-end. Experience building tools and frameworks for ML/AI workloads , including data pipelines, infrastructure, modular and reusable codebases, CI/CD for ML systems, and monitoring. Prior experience deploying ML/AI systems ...

high-impact role where you’ll work across the full data science lifecycle — from deep-dive analysis and model development to deploying scalable ML solutions that directly influence strategic and operational decisions. What you’ll be doing Build, evaluate and deploy machine learning models to predict and classify … libraries (Pandas, scikit-learn, supervised & unsupervised models, tree-based models) Proven experience with customer analytics (e.g. churn, CLTV, segmentation) - required Hands-on experience deploying ML models into production Exposure to cloud platforms (Azure and/or Databricks) and MLOps practices Excellent communication skills with the ability to influence non-technical ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Data Analyst About the Role We are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

London . They are looking for a Data Engineer to join their team. Responsibilities: Analyse raw and messy data Calibrate, deploy and monitor machine learning models Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data) Visualise results Communicate technical problems … technical team members Optimise the product by continuously tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency ...

that push the boundaries of AI integration in cloud services. Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud[1]native applications and architectures. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications … development. • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge ...

Senior ML Engineer £50,000 to 60,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer - London/Hybrid Up to £65,000 + DV Bonus | DV Eligible Required | No Sponsorship We are seeking a Senior ML Engineer … join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will design, develop, and deploy ML models, including traditional ML and GenAI/LLM applications, supporting national security and regulated sector objectives. This is a London-based role with hybrid working ...

Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science … trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust ...

products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with … data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML) Build infrastructure to monitor model performance, data drift, and other key metrics in production Develop and maintain tools ...

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking … engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress ...

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking … engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress ...

AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build … implement, and monitor key performance metrics for AI-driven product features. Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

alternative data, ensuring absolute consistency for research teams. Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints. Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute … Have Polyglot Mastery: Exceptional command of at least one major systems language ( C++ , Rust , Java ) for low-latency components, or Python for data and ML workflows. Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka , ZeroMQ , NATS ). Systems-Level Intuition ...