2,396 AI & Emerging Technologies jobs in the United Kingdom

Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!

We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do.

Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.

We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value.

You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good.

What you’ll do:

• Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits.
• Support the data science and AI team in deploying scalable AI applications across the enterprise.
• Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS.
• Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries.
• Develop prompts, fine-tune models, and track results.
• Evaluate third-party GenAI and LLM technologies for cost-benefit analysis.
• Deliver projects from scoping and R&D to production deployment and benefit measurement.
• Follow and contribute to standards for code quality, R&D, and model development.
• Engineer data for optimal AI application performance.
• Advise peers and senior management on business and customer impact.
• Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL.
• Liaise with third-party partners and stay updated on field advancements and regulations.
• Collaborate with data governance and data management teams on data requirements.

What we’d love you to bring:

• You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
• You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business.
• PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,
• Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,
• Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
• Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution.
• Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
• Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc.
• Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors.
• Knowledge of OO programming and software design, i.e., SOLID principles.
• Knowledge and working experience of AGILE methodologies.
• Familiarity with Databricks, and RAG application architecture a plus
• Experience with latency optimisation and quantisation preferred

What’s in it for you?:

• Competitive salary that reflects your skills, experience and potential.
• Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
• 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
• Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
• Company funded private medical insurance for qualifying colleagues.
• Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
• We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
• Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
• Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
• We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
• And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC

We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

Hybrid 3 days a week together out of our London, Belfast, Birmingham, Bristol, Manchester or Leeds offices (flexible 2 days remote wherever).

Why this job matters

BT is undergoing a major transformation, with Artificial Intelligence (AI) at the centre of its future. This role is critical in shaping and delivering a cohesive AI strategy across the organisation—driving innovation, automation, and ethical adoption of emerging technologies. You’ll lead enterprise-level architectural decisions, influence senior stakeholders, and ensure BT is ready to harness the full potential of AI.

This is a unique opportunity to define the future of Artificial Intelligence at BT, working at the intersection of strategy, technology, and business outcomes. You’ll be joining a collaborative team during a pivotal moment in BT’s digital evolution.

What you’ll be doing

• Define and lead BT’s enterprise Artificial Intelligence architecture and strategy.
• Evaluate AI tools and suppliers, conduct RFPs, and recommend scalable solutions.
• Develop AI roadmaps aligned with business goals and regulatory standards.
• Collaborate with data scientists and engineers to operationalise AI models.
• Promote ethical AI practices and build internal awareness through education and community-building.
• Influence the integration of orchestration frameworks and agentic AI capabilities.

The skills you’ll need

Essential technical understanding we are looking for someone to bring

• Proven expertise in Artificial Intelligence (AI) and machine learning frameworks, including generative and agentic AI.

• Strong understanding of AI governance, ethics, and explainability.

• Experience deploying AI solutions at scale, aligned with enterprise architecture.

• Familiarity with industry frameworks such as TMF, and active engagement with the wider AI community.

Architectural behavioural experience

• Excellent ExCo and MD level stakeholder engagement and communication skills.

• Strategic thinking and the ability to influence senior decision-makers.

• A growth mindset and the ability to navigate complex organisational structures.

Our leadership standards

Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.

Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.

Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.

Benefits

• An annual bonus of up to 15% (company & personal performance dependent)
• Car cash allowance of £5500
• Private healthcare for you and your family
• BT Pension scheme; minimum 5% employee contribution, BT contribution 10%
• Life Assurance
• Exclusive colleague discounts on our latest and greatest BT broadband packages
• 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans
• BT TV, including TNT Sport and the NOW Entertainment membership, and 25% off NOW Sport, Cinema and Kids
• Great support for working parents including pay whilst on maternity, adoptive, and paternity leave
• 25 days annual leave (not including bank holidays), increasing with service
• Volunteering days so you can give back to your local community
• Brand new electric vehicle salary sacrifice arrangement, known as ‘My EV

About us

BT Group was the world’s first telco and our heritage in the sector is unrivalled.  As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business. 
 
Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband.  Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other. 
 
While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come.  This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies.  
 
Change on the scale we will all experience in the coming years is unprecedented.  BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.

A FEW POINTS TO NOTE:

Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

DON'T MEET EVERY SINGLE REQUIREMENT?

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.

AI Business Development Manager

Full Time - Hybrid (time split between Woking, Surrey office and home)

£35,000 - £0,000 per annum with OTE 20,000+

Your Profile

Are you a driven Salesperson excited by the potential of AI? Whether you’re already selling AI solutions or looking to break into this fast-growing sector, our client offers the freedom and flexibility to build success your way.

Our client is seeking an energetic, always on the move, natural people-person with a gift for closing to head up their sales function. You will be given the freedom and flexibility to shape sales how you see fit, as long as they see results.

You will be passionate about all things sales and always on the lookout for potential deals to be made. Ruthless in how your time is used on a daily basis.

Does this sound like you? Read on…

Purpose of the Role

You’ll drive revenue by identifying and converting new business opportunities, owning the full sales cycle from outbound prospecting through to demo, proposal and close. You’ll be responsible for selling an AI solution into a rapidly expanding market. The right candidate will use their communication skills to network for new opportunities and build strong relationships with prospective customers, from the first contact through to a converted sale. 

Minimum Required Experience (including personal qualities):

• Minimum 3 years' experience in a sales or account management role or proven track record of SAAS sales.
• Strong existing network that you can call upon.
• Excellent negotiation skills.
• A proactive and customer focused mindset.
• A natural communicator.
• Full-cycle sales expertise – prospecting, qualifying, pitching, writing proposals and closing.
• Truly enjoy meeting people and building relationships.
• Active on social media and always on the go at networking events.
• A self-starter with a positive outlook and drive to succeed.
• Ability to work independently and collaboratively within a small team.

Required Technologies (or equivalents):

• CRM (Hubspot etc.).
• Proficient in Microsoft or Google Workplace.
• Slideshow presentation tools (Google Slides, Microsoft PowerPoint etc.).
• Lead Generation (Apollo etc.).
• AI (ChatGPT etc.).
• Experience selling to SME’s and mid-market.
• Experience selling SAAS products.
• Proficient with AI tools and an understanding of the AI landscape.

About the Business

Our client is a forward-thinking SaaS company delivering AI tools that enable organisations to automate tasks, enhance productivity and help streamline communications. Their AI Assistant is transforming how teams work from SMEs to Government departments. 

Working at our client means being part of a fun, inclusive, nurturing, and vibrant team of ambitious individuals. They offer great career progression opportunities, where openness, transparency, and fairness are expected of everyone.

They are proud of their culture and working environment, which is innovative and transformative. They continually challenge themselves to develop new and better products and services.  

They are committed to offering equal employment opportunity.

Company Benefits:

• Hybrid Working
• Career and Development Training
• Employee Growth Plans
• Open and fun culture with awesome company social events 
• 25 days leave raising to 30 with tenure
• Excellent Office Environment (with pool, darts and table tennis)
• Enhanced Maternity and Paternity Leave
• Rail discount cards
• Workplace Pension Scheme
• Paid Sick Leave
• Mental Health and Wellbeing Support
• Free Breakfast, fruit and snacks

This range is provided by Future Talent Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

We are seeking a highly skilled Contract Data Engineer with proven expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) . The ideal candidate will be responsible for designing, building, and optimizing data pipelines and infrastructure to support NLP/LLM-driven applications and insights. You’ll work closely with our data science and ML teams to enable robust, scalable, and production-ready solutions.

• Design, develop, and maintain scalable data pipelines for NLP and LLM workloads.
• Build and optimize data infrastructure to support training, fine-tuning, and deployment of LLM models.
• Work with cloud platforms (AWS, GCP, or Azure) to manage data and ML infrastructure.
• Develop and maintain ETL/ELT processes for structured and unstructured data.

• Experience working with Large Language Models (LLMs) , including fine-tuning, prompt engineering, and integration.
• Proficiency in Python and common data engineering frameworks (e.g., PySpark, Airflow, dbt, Kafka).
• Strong knowledge of SQL and relational as well as NoSQL databases.

• Contract

• Information Technology

• Staffing and Recruiting

We are not including location-based or time-based postings here. If you are interested, please contact Future Talent Group for more details about the role.

Turn Data into Action with Retail Insight.

AtRetail Insight (RI), we transform data into actionable strategies, empowering retailers and CPGs to make smarter decisions. Our cutting-edge algorithms and innovative retail execution products are trusted by many of the world’s leading companies to improve sales, profitability, and operational efficiency.

From tackling out-of-stocks and poor in-store execution to reducing waste, markdowns, and shrink, RI helps businesses unlock performance drivers through advanced analytics. Find out more about our journey here .

About the role:

We’re looking for a MLOps Engineer to help us operationalize machine learning at scale. This is a critical role at the intersection of data science and IT operations, ensuring our ML models are robust, reliable, and production-ready. You’ll build the infrastructure, automation, and pipelines that enable seamless deployment and ongoing performance of ML systems — accelerating innovation and helping us deliver value faster to our clients.

What you will do:

• Build Pipelines: Design and maintain scalable ML pipelines that automate the end-to-end lifecycle.
• Deploy & Monitor Models: Oversee deployment into production, monitoring performance and retraining as needed.
• Automation & CI/CD: Implement CI/CD pipelines for ML workflows, driving speed and reliability.
• Manage Infrastructure: Develop and maintain infrastructure for data, models, and computation using cloud and containerization technologies.
• Collaborate Across Teams: Partner with Data Science, Engineering, Operations, and Product to deliver seamless ML solutions.
• Establish Best Practices: Promote MLOps standards to ensure quality, scalability, and consistency.
• Innovate & Improve: Continuously evaluate new tools and techniques to evolve our MLOps capabilities
• Proven programming skills in Python, with experience in ML frameworks.
• Experience with cloud platforms (Snowflake, Azure, GCP, AWS).
• Skilled in containerization (Docker) and orchestration (Kubernetes).
• Knowledge of data engineering concepts (ETL, data warehousing, data lakes, databases).
• Experience with CI/CD automation for ML workflows.
• Familiarity with monitoring and logging tools for production ML models.
• Ability to work in agile, cross-functional teams.
• Relevant degree in Computer Science, Data Science, Engineering, or related field (preferred).

Nice to haves.

• Experience in a retail background would be beneficial
• Keen on continuous technical development, data analytics trends and tools

Flexible Working – Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore.

Time Off – 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine.

Learning & Development – Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.

Health & Wellbeing – Private Medical Insurance, a healthcare cash plan, and mental health support via Plus, we’ll ensure you have a safe and productive home setup with a workspace assessment.

Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we’ll match it!), and make a difference with Give as You Earn.

Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym discounts.

Plus much more!

Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and any job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.

We’re a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly.

W e combine leading-edge technology with cutting-edge thinking, to help you tackle today’s mission-critical operational challenges and maximize your retail potential.

We focus on the factors that drive sales and profit performance, minimise waste and loss, and increase operational efficiency. The result: dynamic solutions that provide actionable insights and unparalleled time to value.

Our values underpin everything we do at Retail Insight. They drive us, define us and shape our decision-making. They’re also the reason the world’s largest retailers and CPGs find working with us so easy.

Job ID: | AWS EMEA SARL (UK Branch)

Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!

The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds’ leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.


Key job responsibilities
* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities
* Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience
* Provide customer and market feedback to product and engineering teams to help define product direction
* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements

About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Experience in patents or publications at peer-reviewed conferences or journals

- Experience working in a startup or with startup customers
- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
- Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation
- Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( Joybuy is JD.com's European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. Your work has an impact on the search and recommendation experience for our customers. This will involve working alongside our design leads, product leads, and business leads, helping with everything from the development of tools and platforms to code optimisations and the deployment of solutions. This role will have a business impact of at least GBP 100 million.

The ideal candidate will have solid technical experience with search engines and strong business acumen. The work location can be Beijing, Shenzhen, or London.
Responsibilities

• Participate in system design, architecture, and software development of the search and recommendation function.
• Design, develop, test, deploy, maintain, and enhance high-quality code and solutions.
• Perform code reviews to optimise the technical performance of the solutions.
• Influence and coach a distributed team of engineers.
• Communicate and translate business needs into technical requirements.
• Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Look for opportunities to continuously improve our technology, processes, and practices.

• Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field.
• Professional experience in software development, with recent years focused on search technologies.
• Professional experience in testing and launching software products, as well as software design and architecture.
• Experience with different programming languages and a good grasp of at least one language, such as Python.
• Customer focus with the right balance between outcome delivery and technical excellence.
• Ability to apply technical skills and know-how to solving real-world business problems.
• Good understanding of NLP processing.
• Proficiency in the English language.

• A background or strong understanding of the retail sector, logistics, and/or e-commerce.
• Recent professional software development experience in recommender systems.
• Proficiency in the Mandarin language.

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that ‘Understand Every Voice’.

We are betting big on scaling models, so you will be working withmillions of hours of audio and billion parameter modelswhich train across dozens of GPUs. It’s all about finding bottlenecks across our 50+ languages.

Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models.

What you'll be doing

• Working with a diverse group of engineers across Speechmatics.
• Scaling self-supervised learning models across hundreds of GPUs in the cloud.
• Experimenting with distillation or quantisation to speed up our models at runtime.
• Comparing compute efficiencies of architectures such as a transformer and the impact on WER.
• Developing new, state-of-the-art AI features, from training models, all the way to shipping it to production.
• Advancing end-to-end speech models and researching new approaches to TTS.

We aim to get you onboarded and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks’ code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with the team.

You’ll want to join our team if you

• Ambitious Engineers keen to work on bleeding-edge speech recognition and representational learning.
• Experience owning areas of code, seeking alignment rather than guidance.
• Proven-track record of delivering results, moving fast and keeping things simple.
• Someone who loves working in collaborative and diverse teams.
• Has a growth mindset and loves to develop oneself and others.
• Enjoys solving challenging problems and optimising a stack of unfamiliar code.

We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.

Who we are:

Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.

Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.

We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.

This is only the beginning; we’re looking for amazing people like you to continue our journey…

What we can offer you:

No matter what stage of your career you’re at - from paid internships and first-job opportunities through to management and senior positions - we’ll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.

We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that’s not all. We’ve spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families.

At Speechmatics, our mission is simple: Understand Every Voice out there.

That's not just about our tech – it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.

But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.

So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.

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Job Title: Machine Learning Engineer – Point Cloud & AI Solutions

Location: Birmingham - Remote (occasional travel)

Salary: £50,000 - £90,000 DOE (Very flexible)

About Us

We are a multidisciplinary UK design and modelling team specialising in data-rich models derived from point cloud scans. Our work supports BIM exercises, photogrammetry, digital twin development, high-fidelity visualisation, and scalable portfolio modelling. Our mission is to continuously enhance laser scanning and Scan2BIM workflows using smart, efficient, and AI-driven technologies.

Role Overview

We are seeking a highly skilled Machine Learning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven solutions to join our innovation team. This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution visualisation through the integration of machine learning and AI.

Key Responsibilities

• Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection).
• Build AI tools to automate BIM modelling tasks, such as feature extraction, geometry reconstruction, and data labeling.
• Collaborate with designers and modellers to integrate AI solutions into Autodesk Revit, CAD, and game engine pipelines.
• Design and train deep learning models for real-time analysis of photogrammetry and LiDAR data.
• Contribute to the continuous improvement of our Scan2BIM workflows through research, prototyping, and tool development.
• Ensure scalability and robustness of AI/ML pipelines in production environments.
• Stay current with advances in 3D computer vision, BIM automation, and AI in construction technology.

Required Skills & Experience

• Proven experience with point cloud data , including formats such as LAS, E57, PLY, and related toolkits (e.g., PCL, Open3D).
• Strong background in machine learning and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Experience with 3D vision techniques including semantic segmentation , shape detection , and scene reconstruction .
• Familiarity with BIM software ecosystems (e.g., Autodesk Revit, Navisworks) and CAD interoperability.
• Programming proficiency in Python, C++, or similar languages used for ML and 3D data handling.
• Understanding of photogrammetry, LiDAR, and reality capture methods.
• Knowledge of ISO 19650, PAS 1192 and BIM Level 2 workflows is a plus.

Nice to Have

• Experience integrating ML models into Unreal Engine or Unity for real-time visualisation.
• Experience with synthetic data generation for training ML models on 3D datasets.
• Publications or personal projects in 3D vision or Scan2BIM automation.

What We Offer

• A chance to work at the forefront of AI and reality capture innovation.
• Collaborative and creative multidisciplinary team environment.
• Flexible working options and supportive company culture.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Design, Information Technology, and Analyst
• Industries IT Services and IT Consulting, Data Infrastructure and Analytics, and Technology, Information and Media

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