74 Machine Learning jobs in London

**Job Requisition ID #**
25WD8887
**Position Overview**
As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities.
As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem.
Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.
In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.
**Responsibilities**
+ **Cloud-Based Data Preparation:** Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
+ **Optimization:** Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
+ **Model Development:** Develop ML models, building on the latest published research.
+ **Model Improvement:** Improve and customize existing models using methodologies like RAG, fine-tuning, and

Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.
Amex GBT Egencia is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We have grown from a small start-up to become the 4th largest corporate travel management company in the world and getting acquired by the 1st.
How often do you get the opportunity to work in what feels like a startup environment but has funding of our parent company? That's what you would be doing if you were joining Amex GBT.
The team's responsibilities span data integration supporting customers and internal business area and ML platform development. We are looking for a talent with different skillset, a passionate technologist and dedicated to solving real-world business problems; to lead the excellence of Data/ML engineering practice.
**What You'll Do on a Typical Day**
+ Partner with technologists across the business to collaboratively solve problems.
+ Demonstrates active mentorship and rising talent identification.
+ Develops north star vision for domain in which they are focused.
+ Demonstrates positive impact and leadership across scope of the organization.
+ Serves as a specialist in architecting design solution patterns to any use case. Considers business needs, application needs and articulating to interested teams and partners.
+ Demonstrates mastery of software design, shapes coding methodologies that is scalable, resilient and stable.
+ Possesses a deep knowledge of entire system and can jump into code in any component and fire fight and contribute.
+ Expertise of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Leads collaboration with key partners and contributes subject matter expertise to develop unique solutions to complex issues.
+ Have good infrastructure knowledge (AWS, Kubernetes)
+ Have some experience with Data (BI, Reporting, Analytics, Machine Learning and so on) would be a plus
**What We're Looking For**
+ 2 to 3 years for Bachelor's or equivalent / for Master's
+ Development background, infrastructure (AWS) knowledge, Data awareness
+ Proven experience in data modeling, schema design patterns and modern data access patterns (including API, streaming, data lake) and AWS
+ Demonstrates familiarity with various cloud technologies and building data products to support batch and real-time DS, ML and Deep learning applications.
+ Independently designs, communicates and executes on architecture for moderately sophisticated data products.
+ Has a strong understanding of testing and monitoring tools and technologies.
+ Guides others in design of software that is easily testable and observable.
+ Influences and contributes to product vision for the team.
+ Proficiency in platform development using Java/Python and SQL
+ Have some experience of Sagemaker or equivalent, feature store, dashboards and so on.
+ Has some basics around LLM, guardrails, observability, RAG.
**Location**
London, United Kingdom
**The #TeamGBT Experience**
Work and life: Find your happy medium at Amex GBT.
+ **Flexible benefits** are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
+ **Travel perks:** get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
+ **Develop the skills you want** when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
+ **We strive to champion Inclusion** in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
+ And much more!
All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.
Click Here ( for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.
Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement ( .
**What if I don't meet every requirement?** If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Click Here to Learn More (

Machine Learning Quant Researcher
£150,000-200,000 GBP
Discretionary end of year bonus
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Machine Learning/Data Science Quantitative Researcher - London/Paris

My client is a quantitative hedge fund with offices globally, focusing on systematic trading. Their Quant Researchers develop and monitor strategies covering al.

WHJS1_UKTJ

Staff ML Engineer

Location: Remote(GLOBAL) London PREFERABLE

Freight forwarding is a $200B+ industry you might not know about, but it’s the backbone of the global economy, ensuring goods move seamlessly around the world. Freight forwarders—like DHL, FedEx, and UPS—act as “travel agents” for goods, managing the complex operations that keep supply chains running.

Surprisingly, this critical industry remains largely untouched by modern software, with many processes still managed manually or through outdated systems. The eco-system is so fragile that one missed email can disrupt an entire shipment, leading to delays, poor service, and financial losses.

At Raft, we’re building an AI platform to automate freight operations. From auditing invoices and preparing customs filings to syncing information across systems, we empower operators to work more efficiently and accurately. The impact? Faster service, fewer errors, and more time for businesses to focus on growth and customer service.

We’re fortunate to have the support of top investors who are just as passionate as we do about transforming the industry, including Eight Roads (Alibaba, Spendesk, Toast), Bessemer Venture Partners (LinkedIn, Twilio, Shopify), Episode 1 (Zoopla, Betfair, Shazam), and Dynamo Ventures (Sennder, Stord, Gatik).

What You’ll Do:

• Lead the design and deployment of end-to-end ML systems for enterprise applications, from experimentation to production.
• Apply large language models effectively:
• Fine-tune and evaluate LLMs for domain-specific tasks.
• Develop robust prompt engineering and orchestration strategies.
• Optimize inference pipelines for latency, throughput, and cost-efficiency.
• Write production-quality software with strong engineering rigor—designing clean APIs, building reliable systems, and collaborating closely with product engineers.
• Build high-reliability ML infrastructure: training pipelines, model registries, observability, and CI/CD for ML.
• Ensure ML solutions meet enterprise standards for security, compliance, data privacy (e.g., SOC2, GDPR), explainability, and auditability.
• Develop evaluation and monitoring frameworks that measure accuracy, fairness, robustness, and drift in deployed models.
• Partner with product and GTM teams to identify high-value enterprise use cases for ML and translate them into scalable solutions.
• Work directly with customer facing teams to help with important enterprise customer projects.
• Mentor engineers and raise the bar for technical excellence across the org.
• Influence technical strategy and help define the company’s long-term AI roadmap.

Who You’ll Be:

• An experienced Python developer with a strong grasp of data structures and algorithms, and an understanding of CI/CD pipelines.
• A Machine Learning professional proficient in data wrangling (SQL, pandas, NumPy) and scripting. You'll be skilled in supervised and unsupervised learning, model evaluation, and feature engineering.
• Knowledgeable in Deep Learning frameworks like PyTorch, with experience in various neural networks and NLP models. Exposure to generative and multi-modal models is a plus.
• A practitioner of MLOps, experienced in model serving, orchestration (Kubernetes), and experiment tracking. You'll be capable of designing and delivering large-scale ML systems and platforms, with a focus on cost optimization and reproducibility.
• Equipped with a solid foundation in linear algebra, probability, statistics, and calculus.
• An effective communicator who can translate complex technical concepts into clear business language and work collaboratively with non-technical stakeholders. You'll also be expected to provide technical leadership and mentor colleagues.

 This role might not be for you if.

• You're only interested in research or purely theoretical ML problems without building and maintaining production systems.
• You prefer working on consumer-facing applications over complex B2B SaaS platforms.
• You're not interested in providing technical leadership or mentoring a team through code reviews and architectural guidance.
• You're not comfortable taking ownership of projects end-to-end, from data ingestion to final delivery.

Apply Because You Want to.

• Join a dynamic, fast-growing company at the forefront of logistics technology, where you’ll be interacting with clients across various industries.
• Work in a client-centric role where your technical expertise helps solve real-world challenges for global businesses.
• Collaborate with diverse teams to create customized solutions that have a tangible impact on the efficiency of the logistics and freight industry.
• Thrive in a customer-facing, dynamic environment where you can grow your technical and communication skills.
• Be part of a diverse, inclusive, and multi-cultural team that values continuous learning and innovation.

Coders Connect has partnered with an innovative start-up who are embarking on an incredible journey with an AI-powered song-generation platform.

A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the Desinging and implementation of Data Pipelines, research, finetune and develop state-of-the-art generative AI models. Embrace the endless possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality!

 

If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you! Don't miss out on this thrilling adventure. Apply and shape the future of AI music production!

About this role: The ideal candidate would be responsible for: Designing and Implementation of data pipelines : craft and enhance AI-powered data collection and processing pipelines Advance AI Models for Music and Singing generation :research, fine-tuning and developing state-of-the-art generative AI models Evaluate and quantify the results :provide quantitative and qualitative analysis of the collected data and evaluate AI models Explore and collaborate : read academic papers, explore open-source solutions, actively share and collaborate with a team of AI and DSP engineers What is our team currently working on? Developing AI singer : singing voice synthesis and singing voice conversion Improving music AI models : exploring text and melody conditioning for music generation Building with instruction-tuned LLMs :  for user's interactions with AI producer and lyrics generation Implementing the full music production pipeline :  music generation, mixing and masteringRequirements Experience with audio data and DSP : experience in handling audio data and expertise in digital signal processing Data pipeline development skills : background in building data collection and processing pipelines Python and ML Framework Proficiency : 1+ years of hands-on experience with Python and modern ML frameworks Desirables : Experience with generative AI models :  Diffusion models, GANs, VAEs, Transformers Musical background: Understanding of basic concepts in music theory and experience in either composing music or music production

Our client is looking for a talented and experienced Senior AI Engineer specializing in Machine Learning to join their innovative team in London, England, UK . This is a fully remote position, offering the opportunity to work on cutting-edge artificial intelligence projects and contribute to the development of advanced AI solutions. You will be responsible for designing, developing, and deploying machine learning models, from initial data exploration and feature engineering to model training, evaluation, and production deployment. Your work will involve collaborating closely with data scientists, software engineers, and product managers to translate business requirements into effective AI-driven features and products. Key responsibilities include researching and implementing state-of-the-art ML algorithms, optimizing model performance, and ensuring scalability and reliability of AI systems. You will also contribute to building robust data pipelines and MLOps frameworks. The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with at least 5 years of hands-on experience in developing and deploying ML models in a production environment. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Strong understanding of various ML techniques, including deep learning, natural language processing, and computer vision, is required. Experience with cloud platforms (AWS, Azure, GCP) and MLOps best practices is highly desirable. Excellent problem-solving skills, a collaborative mindset, and strong communication abilities are crucial for success in this role. This is an exceptional opportunity for a motivated AI professional seeking to make a significant impact in the field of AI and emerging technologies within a flexible, remote work setting.

Key Responsibilities:

• Design, develop, and deploy machine learning models.
• Conduct data preprocessing, feature engineering, and model evaluation.
• Implement and optimize deep learning and classical ML algorithms.
• Build and maintain MLOps pipelines for continuous integration and deployment.
• Collaborate with stakeholders to understand requirements and deliver AI solutions.
• Research and stay current with advancements in AI and ML.
• Optimize model performance for scalability and efficiency.
• Contribute to the development of AI strategy and roadmaps.
• Ensure ethical considerations and responsible AI development practices.
• Mentor junior engineers and share expertise within the team.

**About this role**
BlackRock is one of the world's leading providers of investment, advisory, and risk management solutions, including Aladdin, our investment and risk management technology. Aladdin is a comprehensive technology platform used by BlackRock and delivered to our clients to unify the investment management process across public and private markets. It integrates risk, investment, and client management processes through a common data language, enabling scale, insights, and business transformation. At BlackRock, the Aladdin team comprises the Aladdin Client Business, Aladdin Wealth Tech, Aladdin Product, Aladdin Data, and Aladdin Engineering.
Join our AI Platform Engineering team as part of Aladdin Engineering and be at the forefront of financial technology innovation. Aladdin Engineering is the team that designs, builds, and runs Aladdin. Within Aladdin Engineering, there are multiple engineering teams focused on building the different products and platform services for Aladdin. As part of the AI Platform Engineering team, you will play a crucial role in shaping the AI ecosystem across the firm and significantly influencing the Aladdin application ecosystem.
We are looking for highly motivated and determined engineers to set and drive a clear AI Software Strategy, delivering cohesive AI experiences across the firm. At BlackRock, you will have the opportunity to work with some of the brightest minds in the industry, leveraging your insights and expertise to advance AI Platform Engineering. We value diversity and believe it is the key to our success, ensuring that your unique skills, curiosity, and passion are nurtured. Join us and grow both technically and personally while working at one of the most recognized financial companies in the world as part of an AI software development team.
**Key Responsibilities** :
+ Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform.
+ Implement and manage Kubernetes clusters for deploying AI models. Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments.
+ Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns.
+ Ensure the security and compliance of the platform.
+ Troubleshoot and resolve issues related to platform performance and reliability.
+ Refine business and functional requirements and translate them into scalable technical designs. Apply quality software engineering practices throughout the software development lifecycle.
+ Work with team members in a multi-office, multi-country environment.
+ Stay updated with the latest trends and technologies in AI and cloud engineering.
**Requirements** :
+ B.S./M.S. degree in Computer Science, Engineering, or a related subject area.
+ 2+ years of experience in software and platform engineering.
+ Proficiency in designing and building scalable APIs and microservices.
+ Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs).
+ Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
+ Expertise in containerization technologies (Docker, containerd). Experience in CI/CD tools (Jenkins, GitHub Actions, ArgoCD).
+ Knowledge of infrastructure such as code (IaC) tools like Terraform or CloudFormation.
+ Solid understanding of networking concepts, security policies, and API gateways in cloud environments. Proficiency in production-grade programming languages such as Rust and C++.
+ Decent understanding of distributed systems, cluster orchestration and management.
+ Good knowledge of data science tools (e.gPyTorch, Jax, Numpy) and programming languages such as Python.
+ Experience with monitoring tools (Prometheus, Grafana).
+ Experience working in Agile development teams with excellent collaboration skills.
+ Grit in the face of technical obstacles.
**Nice to have** :
+ Building SDKs or client libraries to support API consumption.
+ Knowledge of distributed data processing frameworks (Spark, Dask).
+ Understanding of GPU orchestration and optimization in Kubernetes.
+ Familiarity with MLOps and ML model lifecycle pipelines.
+ Experience with AI model training and fine-tuning.
+ Familiarity with event-driven architecture and messaging frameworks like Kafka.
+ Experience with NoSQL datastores like Cassandra
**Our benefits**
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
**Our hybrid work model**
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
**About BlackRock**
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock ( | Twitter: @blackrock ( | LinkedIn: is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

**Summary:**
Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like