191 Learning Professionals jobs in London

Digital Learning Co-ordinator

London or another office in the UK

Are you ready to bring your Digital Learning expertise to a role where your skills and unique perspective can make a lasting impact?

What Sets Us Apart

At MHA, we’re about people first – our people, our clients, and the communities we serve. As one of the UK’s top 13 accountancy firms and a proud member of Baker Tilly International, the 9th largest network in the world, we are a hub of global knowledge with a strong local commitment.

Our people-focused approach truly sets us apart. Here, you won’t just be another face in the firm; you’ll be part of an ambitious, driven team dedicated to continuous learning and growth. We invest in our people because they are the foundation of our success. With access to unparalleled resources and award-winning development programmes, you’ll have the freedom to shape your career while making a meaningful impact. We take immense pride in being awarded gold for Investors in People. This recognition reflects our deep commitment to nurturing talent and ensuring every individual feels valued and supported.

Here, You’ll Go Beyond Numbers

We’re looking for a talented Digital Learning Co-ordinator who thrives in a dynamic environment and embraces the chance to tackle complex challenges. At MHA, you’ll be surrounded by passionate professionals who are dedicated to making a difference. Your work in Learning and Development will go beyond the numbers – it’s about building meaningful client relationships, understanding their businesses, navigating risks, and delivering insights that drive real results.

This Digital Learning Coordinator will be responsible for the administration, design, and delivery of our digital learning environment. This role will centralise ownership of digital learning, streamline course development, and ensure that our e-learning programmes are effective, scalable, and aligned with organisational goals.

What We’re Looking For

• Strong understanding of digital learning theories and instructional design principles.
• Proficiency in using various digital learning tools and Learning Management Systems (LMS).
• Proficiency in e-learning development tools, such as Articulate, iSpring, Litmos Content Author or Adobe Captivate.
• Creativity and innovation in designing engaging and interactive learning experiences.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a team-oriented environment.

Rewards That Resonate

You’re more than a number to us; you’re an individual with unique talents and aspirations. Our benefits are designed to support your well-being, foster your professional growth, and recognise your contributions.

• Agile Working: Enjoy the flexibility of core hours from 10 AM to 2 PM and two home working days, allowing you to balance your work and personal commitments seamlessly.
• 33 days holiday Inc. bank holidays, plus the opportunity to buy or sell up to 5 days (28 days on a training contract, with the opportunity to buy 5 days)
• Competitive salary package
• Employee recognition awards: Outstanding Performance Award Bonus and other recognition initiatives.
• New and improved programme for succession planning and supportive management structure to help you realise your potential
• Employee Assistance Programme: Access a free confidential 24-hour support service, including unlimited counselling sessions and virtual doctors available for you and your family.
• And lots more

Are You Ready to Elevate Your Career?

Job Title: Machine Learning Engineer

Location: London, UK (Hybrid – 2–3 days onsite per week)

Contract Type: Contract

Duration: 6–12 months (possibility of extension)

Start Date: ASAP

Overview

We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives.

This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments.

Key Responsibilities

• Design, build, and deploy machine learning models and AI-driven solutions to address business challenges.
• Collaborate with data scientists to transition prototypes into production-ready systems .
• Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment.
• Optimise model performance, scalability, and reliability using MLOps best practices.
• Work with large-scale structured and unstructured datasets for model training and validation.
• Implement model monitoring, versioning, and retraining processes to ensure continuous improvement.
• Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments.
• Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation.

Required Skills & Experience

• Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role.
• Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
• Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures .
• Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms.
• Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Experience integrating ML models into production environments via APIs or microservices.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field.
• Familiarity with CI/CD pipelines for ML model deployment.
• Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects.
• Experience working in Agile/Scrum environments.

Contract Details

• Location: Hybrid – London (onsite 2–3 days per week)
• Type: Day-rate contract (Outside/Inside IR35 subject to assessment)
• Duration: 6–12 months (extension likely)
• Start Date: Immediate or within 2–4 weeks

Why Join

• Work with a talented, cross-functional AI and data engineering team.
• Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment.
• Hybrid flexibility with a strong London presence.

A leading global hedge fund is looking to speak with Machine Learning researchers from any industry background who might be interested in applying their expertise to the trading domain. You'll be working alongside experienced portfolio management/trading teams to research and implement machine learning strategies to search for alphas in large, unstructured data sets.

Requirements:

-PhD in Machine Learning or related discipline.

-3+ years industry experience applying innovative ML research to real-world problems.

-Experience with large-scale data sets and unstructured data sources.

-Interest in quantitative trading.

-Hands-on coding experience in Python and/or compiled languages.

Job title: E-Learning Developer

Salary: Competitive depending on experience

Reporting to: Head of Production

CareTutor is a Social Care eLearning provider based in West London and we have an exciting new opportunity for an experienced, creative and highly accomplished eLearning Developer to support the design of targeted and effective digital eLearning for use on our CareTutor eLearning platform.

The post holder will work in partnership with the Head of Production, Head of Learning and Development and Subject Matter Experts to understand specific gaps and learning needs that can be addressed by digital learning.

The post holder will be responsible for creating engaging and effective learning resources, drawing on established good practice in online learning design, to make this content available and accessible to the relevant groups in a timely way.

• Design, deliver and evaluate digital blended learning solutions to support projects and strategic aims of the organisation; drawing on recognised good practice and an understanding of how people learn.
• Create objective-based, engaging storyboards demonstrating a visual representation of the planned digital solution illustrating course components, resources, clear goals and learning outcomes, ensuring creations are aligned with the agreed brief and objectives.
• Finding the most effective ways to deliver information about complex topics and design learning experiences that have our colleagues and the people we support at the centre.
• Present complex ideas with animation, grab learners’ attention and ensure maximum knowledge retention.
• Create animated videos easily, matching our brand and bringing your eLearning to life.
• Conducting research and working with Subject Matter Experts in unfamiliar areas in order to identify and create learning outcomes.
• Utilising ‘test and learn’ approaches to develop and validate content and the learning mechanism designed.
• Work as part of the wider team to implement a range of projects to support development of organisational capability.
• Regularly review Learning and Development solutions with Learning and Development Manager and key stakeholders to ensure they are effective and meet the needs of the organisation.
• Introduce measurement/assessment/impact & evaluation process including ROE for learning solutions.
• Keep abreast of developments in the sector, amongst our competitors and through continuous professional development to ensure learning interventions remain current, relevant and effective.

About You

Qualifications: Bachelor Degree

Learning & Development qualification (Ideally)

Experience

• Proven experience in the end to end digital Learning and development cycle.
• Experience in creating and designing of eLearning using Articulate Storyline and Articulate Rise.
• Experience of designing and creating digital content utilising platforms such as Vyond, Adobe Photoshop, After Effects and Premiere.
• Experience of instructional design, including needs assessment, storyboarding, design and testing.
• Experience of establishing and working to a set of deadlines.
• Experience of working with a learning management system.

Skills/Abilities

• Able to deal with ambiguity and changes of direction.
• Able to work independently.
• Excellent communication and interpersonal skills.
• Able to develop immediate credibility with internal and external stakeholders and build sound working relationships.
• Effective organisation and time management.
• Excellent digital literacy.
• Experience of working with multiple SMEs.
• Ability to multi-task and work on multiple projects, at various stages, at the same time.

Knowledge

• Knowledge of contemporary learning and development practices.

Personal Attributes

• High integrity and accountability.
• Demonstrates a high degree of positive personal impact.
• Works well independently and as part of a team.
• Self-motivated and results orientated.
• Structured and process driven.
• Creative, Innovative thinker and problem solver.
• Willing to be flexible in working hours.
• Passionate about developing others and self.

So what's the deal? In return, we offer you a rewarding role with the opportunity to develop your skills and future career in a rewarding and enriching environment. We also offer the following;

• Comprehensive induction and commitment to ongoing learning and development
• Contributory pension scheme
• Relaxed work environment
• Regular staff social activities

We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact.

Key Responsibilities

• Develop, train, and optimize machine learning models for production use.
• Collaborate with data scientists to turn research prototypes into production-grade solutions.
• Build robust data pipelines and feature engineering workflows.
• Deploy ML solutions into cloud environments (AWS, GCP, or Azure).
• Implement monitoring, testing, and model performance evaluation frameworks.
• Work with engineering teams to ensure seamless integration of ML models into products.
• Contribute to improving infrastructure, tooling, and best practices for ML development and deployment.

Skills & Experience

Essential:

• Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn).
• Proven experience in developing and deploying machine learning models in production.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
• Proficiency in working with cloud services (AWS, GCP, or Azure).
• Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes).
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Desirable:

• Experience with NLP, computer vision, or time-series forecasting.
• Familiarity with distributed computing frameworks (Spark, Ray).
• Experience with MLOps and model governance practices.
• Previous contract experience in a similar ML engineering role.

Contract Details

• Duration: 6–12 months (extension possible)
• Location: London (Hybrid working model)
• Day Rate: Competitive, depending on experience

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!

Please note this Role is based in London, local candidates only!

Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. 

Our combined experience of over 100 years in logistics, artificial intelligence and scaling startups allows us to innovate boundlessly, constantly push the frontiers of what’s possible, and generate revolutionary tools to deliver business impact to our customers. 

We stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency.

The role:

We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of research and production, where your work will ensure our customers get maximum value out of our solutions.

The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. 

You will have the freedom to propose, research and implement innovative new ideas to improve our system. 

If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you.

Your responsibilities

• Innovate on Solvo’s modelling and decision making solution.
• Create value for customers through application of ML principles and best practice.
• Strive for high quality and robust outcomes.
• Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings.
• Design and develop production-grade software, ensuring scalability and performance.
• Collaborate closely with scientists and engineers in an agile team environment.
• Facilitate understanding of our AI solutions internally and externally.
• Continuously develop your own AI/ML and engineering skills.

Essential skills and experience

• Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics.
• Proficiency in designing and programming advanced ML algorithms.
• Ability to apply state-of-the-art research to real-world problems.
• Proficiency in operating and evolving advanced ML systems in a production environment.
• Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences.
• Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics).
• Experience working in an agile team environment.

Desired qualifications, skills and experience

• PhD degree in a relevant field.
• Good working knowledge of optimisation (linear programming).
• Strong experience with Python and standard ML libraries.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).

Equal employment opportunity

Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Benefits

1. A competitive compensation package including equity
2. Career growth opportunities on a personal and professional level
3. Be part of a very talented, collaborative team that continuously strives for innovative solutions
4. A friendly work environment where you are expected to challenge and be challenged every single day
5. 25 days paid holiday

Job type: full-time; permanent contract; On-site (hybrid)Location

London, United Kingdom