Machine Learning Engineer
more. As
- London, England, United Kingdom
- London, England, United Kingdom
About
Explore exciting Machine Learning Engineer jobs in London . These roles involve developing algorithms, creating predictive models, and working with large datasets to solve complex problems. Machine learning engineers are in high demand across various sectors, including finance, healthcare, and technology, driving innovation and efficiency through data-driven solutions. London presents a dynamic job market for machine learning professionals, with opportunities ranging from startups to established multinational corporations. Key responsibilities often include designing and implementing machine learning pipelines, optimizing model performance, and collaborating with cross‑functional teams to deploy solutions. Candidates should possess a strong background in computer science, mathematics, and statistics, along with proficiency in programming languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. Search for your next machine learning engineer role in London and advance your career.
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275
Machine Learning Engineer
jobs in
London
Xcede have just started working with the UK’s leading financial advisor. Wanting to reinvent how the whole of the UK resolves financial disputes, you would be having a direct, visible impact allowing for people to receive money faster because of your work! You will also have a tangible effect to the frontline teams who will be using the solutions.
You’ll take their GenAI and NLP capabilities to the next level by building their NLP and Gen AI abilities to improve the business operation. You will also work with architects, product owners, senior developers, business analysts, technology team and stakeholders to help with development, design and assisting in solving real problems with real impact.
Requirements:
Impressive programming skills in Python
good understanding of programming, algorithms and modern cloud platforms
built and shipped serverless pipelines in a cloud environment (Azure preferred)
experience building CI/CD pipelines
Great understanding of various ML techniques and being able to explain them fully
Prior experience in building production GenAI systems
If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ |
Is this job a match or a miss? Machine Learning Engineer London, London £60,000 - £120,000 per year help_outline Tadaweb
Posted 1 day ago
Job Description Tadaweb is a pioneering technology company with roots in Luxembourg and a growing global presence, with offices in the United Kingdom, France, and the United States. For over 13 years, we’ve been on a mission to make the world a safer place by empowering analysts with the tools they need to access the right information at the right time. Our cutting‑edge SaaS platform revolutionizes PAI and OSINT investigations, making them faster, smarter, and more effective, all while adhering to the highest ethical standards by relying solely on publicly available information and supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do.
We are looking for a
Machine Learning Engineer
with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to enhance our platform’s capabilities. If you thrive in a collaborative, fast‑moving environment and want to make a real‑world impact, we’d love to hear from you!
Scope of Work:
Machine Learning Engineering
Develop, maintain, and optimize scalable data pipelines & machine learning models based on key metrics for scalability, reliability, and real‑world impact.
Build and maintain end‑to‑end ML pipelines, including data preprocessing, model training, deployment, and monitoring.
Work closely with cross‑functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations.
Develop, maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data.
Ensure data quality, consistency, and availability to support ML workflows.
Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation.
Align data infrastructure with business needs and product strategy for PAI and OSINT.
System Optimization & Support
Monitor, test, and troubleshoot data and ML systems for performance improvements.
Recommend and implement enhancements to data pipelines, ML workflows, and system reliability.
Ensure seamless integration of new ML models and data‑driven features into production.
Your Profile:
Experience in both data engineering and machine learning, with a strong portfolio of relevant projects.
Track record of delivering end‑to‑end ML solutions integrated into SaaS products
Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit‑learn for ML, and Pandas, PySpark, or similar for data processing.
Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka.
Strong understanding of SQL, NoSQL, and data modeling.
Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions.
Knowledge of MLOps practices and tools, such as MLflow or Kubeflow.
Strong problem‑solving skills, with the ability to troubleshoot both ML models and data systems.
A collaborative mindset and ability to work in a fast‑paced, small team environment.
You get bonus points if you have any of the following:
Experience working with geospatial data or network graph analysis.
Experience with CI/CD for ML and data workflows
Familiarity with PAI and OSINT tools and methodologies.
Hands‑on experience with containerization technologies like Docker.
Understanding of ethical considerations in AI, data privacy, and responsible machine learning.
Our Offer:
The opportunity to join a growing tech company, with strong product‑market fit and an ambitious roadmap
The chance to join a human‑focused company that genuinely cares about its employees and core values.
A focus on performance of the team, not hours at the desk.
A social calendar including family parties, games nights, annual off‑sites, end of the year events and more, with an inclusive approach for both younger professionals and parents.
Tadaweb is an equal opportunities employer and we strive to have a team with diverse perspectives, experiences and backgrounds.
Our culture:
Our company culture is driven by the core values of family first, nothing is impossible and work hard, play harder. We provide a healthy and positive culture that cares about employee wellbeing by creating a great workplace and investing our employees learning and development. Our leaders aspire to the philosophies of extreme ownership, and servant leadership.
Is this job a match or a miss? Machine Learning Engineer London, London £60,000 - £120,000 per year help_outline mthree
Posted 1 day ago
Job Description
Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics
Build scalable ML pipelines for processing large‑scale financial data
Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data
Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search
Collaborate with quants to understand pricing model requirements and identify ML opportunities
Develop data‑driven approaches to complement traditional quantitative finance models
Support implementation of ML solutions for derivatives pricing and risk management
Core Technical Skills
Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning)
Extensive experience with neural networks, including RNNs, LSTMs, Transformers
Expertise in gradient boosting, random forests, and ensemble methods
Experience with generative models (GANs, VAEs, Diffusion models)
Programming & Tools
:
Expert‑level Python programming
Proficiency with ML frameworks (PyTorch, TensorFlow, JAX)
Experience with scikit‑learn, XGBoost, LightGBM
Strong software engineering practices and clean code principles
Data & Computing
:
Experience with big data technologies (Spark, Dask)
SQL and NoSQL databases
Experience
Track record of successfully deployed ML models at scale
Experience with time series analysis and forecasting
Experience applying ML in finance, trading, or risk management contexts
Knowledge of stochastic processes and their applications
General understanding of financial markets and instruments
Basic knowledge of derivatives and their risks
Awareness of risk management principles
Is this job a match or a miss? Machine Learning Engineer London, London £60,000 - £120,000 per year help_outline Movement8
Posted 1 day ago
Job Description Lead ML Engineer - Onsite 5 days a week - London
Happy to look at European relocators
An Edtech Start‑up in London are building something transformative in the education space using cutting‑edge machine learning.
We're looking for a
Lead ML Engineer
to take ownership of the machine learning strategy, build out the team, and help shape the future of AI in education.
Responsibilities:
Build and lead a new ML team from the ground up.
Define the tech stack for data pipelines and ML models.
Develop generative models using diverse datasets (text, audio, video, test results).
Design and deploy data integration and analysis pipelines.
Collaborate with engineers and product managers to bring ML features to life.
Create innovative language assessments and predictive models.
Optimize models for performance, scalability, and accuracy.
Qualifications:
Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers).
Strong experience with data tools (Pandas, NumPy, Apache Spark).
Solid understanding of NLP algorithms.
Experience integrating ML models via RESTful APIs.
Familiarity with CI/CD pipelines and deployment automation.
Strategic thinking around architecture and trade‑offs.
If interested please get in touch ASAP!
Is this job a match or a miss? Machine Learning Engineer London, London £60,000 - £120,000 per year help_outline Experis
Posted today
Job Description Job Title:
Machine Learning Engineer
Location:
London, UK
Employment Type:
Full‑time
Department:
Data Science / AI Engineering
Role Overview
We are seeking a highly skilled
Machine Learning Engineer
to design, build, and deploy scalable ML solutions that power intelligent products and services. You will work closely with data scientists, software engineers, and product teams to transform cutting‑edge research into production‑ready systems.
Key Responsibilities
Model Development:
Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems.
Data Pipeline Engineering:
Build and maintain robust data pipelines for feature extraction, transformation, and model training.
Deployment & Monitoring:
Implement models into production environments using MLOps best practices (CI/CD, containerization, monitoring).
Performance Optimization:
Continuously improve model accuracy, latency, and scalability.
Collaboration:
Work cross‑functionally with product managers and engineers to align ML solutions with business objectives.
Documentation & Compliance:
Ensure proper documentation and adherence to data privacy and ethical AI standards.
Required Skills & Qualifications
Education:
Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, or related field.
Programming:
Strong proficiency in Python (TensorFlow, PyTorch, Scikit‑learn), and experience with SQL.
ML Expertise:
Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques.
Cloud & MLOps:
Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools.
Data Handling:
Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC).
Soft Skills:
Strong problem‑solving, communication, and ability to work in agile teams.
Preferred Qualifications
Experience with
transformer‑based models
(e.g., BERT, GPT) and
generative AI .
Knowledge of
distributed training
and
GPU acceleration .
Familiarity with
feature stores
and
real‑time inference systems .
Competitive salary and bonus structure
Flexible working arrangements (hybrid model)
Professional development and training budget
Health and wellness benefi
Is this job a match or a miss? Machine Learning Engineer London, London £60,000 - £120,000 per year help_outline Exoeris
Posted today
Job Description We are seeking exceptional individuals who are passionate about software development, large‑scale data analytics, and driving AI‑led innovation within organizations.
Ideal candidates will demonstrate:
4+ years of experience
in a technology consulting environment
Strong ability to apply
software development best practices and standards
to build robust, maintainable solutions
Hands‑on involvement throughout the
entire software development lifecycle
Proven experience in
guiding non‑technical teams and consultants
on best practices for scalable and reliable software development
Expertise in
optimizing algorithms and software design for computational efficiency
Motivation to thrive in a
fast‑paced, client‑focused environment , engaging directly with clients to shape new features for future product releases
A collaborative mindset, eager to
share ideas and co‑create solutions
within teams
A natural
problem‑solver with intellectual curiosity
across diverse industries and topics
Master’s degree or PhD
in a relevant field (please provide all academic certificates, including A‑level, Bachelor, Master, and PhD
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Languages
- English
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