machine learning engineer - customer solutions Jobs in London United Kingdom

machine learning engineer - customer solutions

machine learning engineer london, england, united kingdom Jobs in London United Kingdom

machine learning engineer london, england, united kingdom

nlp / llm scientist - applied ai ml lead - machine learning centre of excellence Jobs in London United Kingdom

nlp / llm scientist - applied ai ml lead - machine learning centre of excellence

principal machine learning engineer london, england, united kingdom Jobs in London United Kingdom

principal machine learning engineer london, england, united kingdom

principal software engineer Jobs in London United Kingdom

principal software engineer

applied machine learning engineer

Picnic Media

Who are Picnic & what do we do? Picnic's mission is to drive a higher quality ad-funded internet. With 70% of people finding digital ads annoying, brands are wasting ad spend on ineffective and potentially damaging ad experiences. We're a fast-growing, founder-led start-up, passionate about making digital ads work better for everyone. Now, we're looking for our first ever Applied Machine Learning Engineer to help us build intelligent systems that power the future of digital advertising. What will you be doing as an Applied Machine Learning Engineer? <ul> <li>Build applied ML systems that make our product smarter and more defensible</li> <li>Develop contextual categorisation of web content (e.g. automatically recognising industry categories)</li> <li>Prototype algorithms that can improve advertising outcomes, such as smarter bidding or optimisation logic</li> <li>Work closely with product and commercial teams to package outputs into demos and case studies for clients</li> <li>Collaborate with engineers to integrate ML features into production system</li> <li>Establish good practices for applied ML in the business, bringing your curiosity and drive to help us move fast while building robust foundations</li> <li>Apply modern LLM techniques to business problems: <ul> <li>Use prompt-engineering strategies to get consistent, accurate results</li> <li>Explore augmentation methods (e.g. combining LLMs with our own data via embeddings or retrieval)</li> <li>Run fine-tuning experiments to adapt general models to our specific domain</li> </ul> </li> </ul> Who are we looking for? We're looking for someone who is curious, hands-on and eager to shape the future of Machine Learning at Picnic. You'll be motivated by solving real world problems with cutting edge techniques and excited about working in a start-up where you'll have a big impact from day one! <ul> <li>Ideally, you've got 1-3 years experience in applied ML/AI (or equivalent practical experience through academic projects or early career roles)</li> <li>You're comfortable coding in Python and using ML frameworks (e.g. PyTorch, Hugging Face, scikit-learn)</li> <li>You've worked with large language models (LLMs) - not just calling APIs, but experimenting with different ways to get the best out of them: <ul> <li>Prompt engineering (designing effective prompts, chaining prompts)</li> <li>Fine-tuning or instruction tuning models for specific tasks</li> <li>Embedding-based augmentation (using vector search to give LLMs access to external knowledge)</li> <li>Retrieval-Augmented Generation (RAG) or similar techniques</li> </ul> </li> <li>You've taken messy, real-world data and turned it into useful, structured outputs</li> <li>You can show how your work had impact - whether that's a model in production, a working prototype, or an experiment that unlocked a new direction</li> <li>You're a clear communicator, able to work across functions with product managers, engineers, and commercial stakeholders</li> <li>You're excited by the prospect of being our first ML engineer, owning this area from day one and growing into a lead role quickly</li> <li>You don't need to have worked in adtech before - but if you have, that's a bonus!</li> </ul> Why will you want to work for Picnic? You'll be part of a culture that's grounded in our values and pushes us forward every day: <ul> <li>You're trusted to take ownership, make decisions and deliver with autonomy</li> <li>Ideas move quickly from concept to reality - we learn by doing, not over-polishing</li> <li>We constantly push ourselves and the industry forward, aiming higher with every piece of work</li> </ul> Together, these values guide us as we tackle hard problems, learn fast and make digital ads better What can Picnic offer you? We're proud to have been recognised by Culture100 and Flexa as one of the best and most flexible small businesses to work for. We offer: <ul> <li>A flexible, hybrid working setup (we're usually in the office a few times a week, so being within reach of London Bridge is important)</li> <li>33 days holiday (inclusive of Bank Holidays), plus additional Christmas shutdown</li> <li>Private Medical Insurance through Vitality</li> <li>Picnic Pension Contribution</li> <li>Inclusive Parental Leave Policy</li> <li>A great co-working space, regular socials & offsites, Picnic Thursdays, Summer Fridays and Work from Roam opportunities</li> </ul> Salary Range: £50-60k<img src="https://www.jobg8.com/Tracking.aspx?Z3TFjo9onGkjvxr1V%2boouAyVf0JbfOqGk" width="0" height="0" />

Applied Machine Learning Engineer

NLP PEOPLE

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of ExcellenceThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the businessRequired qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problemsPreferred qualifications, capabilities, and skills • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement LearningFor more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Company: Chase- Candidate Experience page Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom <img src="https://www.jobg8.com/Tracking.aspx?Ju8ovp2JVQHH5b0Wvhj8gtSh3v%2bbyQjen" width="0" height="0" />

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Amazon

Welcome to Amazon's Worldwide Returns & ReCommerce (WWR&R) Team At WWR&R, we're revolutionizing returns management through our innovative "Zero Initiative," focusing on eliminating return costs, waste, and defects. Our mission extends beyond conventional business metrics to create lasting value for our customers, company, and environment. As pioneers in Amazon's circular economy, we're transforming how returns are handled through edge technology and operational excellence. Our approach combines sophisticated machine learning, automated routing systems, and innovative reuse channels to create seamless experiences for our customers while significantly reducing environmental impact. Our diverse team of experts in business, technology, and operations works collaboratively to manage the complete lifecycle of returned and damaged products. We're developing next-generation solutions that streamline the returns process, enhance product support, and create sustainable reuse opportunities. Join us in building scalable, high-impact solutions that shape the future of sustainable commerce while delivering exceptional customer experiences. At WWR&R, you'll be part of an innovative team that's committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machine learning and statistical approaches. -Mentor junior scientists and interns by providing technical guidance for their projects. -Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. 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.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fH%2f1zsvk3vZzePNMqPp7o08t" width="0" height="0" />

Senior Applied Scientist, Worldwide Returns & Recommerce - Science

Unitary

The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you will: <ul> <li>Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes.</li> <li>Contribute to the development of our Virtual Agent development platform that scales with our product strategy.</li> <li>Ensure our AI services maintain high standards of reliability, observability, availability, and performance.</li> <li>Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future.</li> <li>Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers.</li> <li>Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.</li> </ul> We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: <ul> <li>Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems</li> <li>Can (or want to learn to) develop agentic AI systems that can automate human processes</li> <li>Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently</li> <li>Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions</li> <li>Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input</li> <li>Can travel to our company-wide offsites three times per year</li> </ul> It would be even better, but not essential, if you have: <ul> <li>Experience working in a fully remote, international team</li> <li>Previous startup experience</li> <li>A background in building and operating agentic AI systems</li> <li>Experience with MLOps practices and tools, and monitoring machine learning systems in production</li> <li>Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD</li> <li>Proficiency with SQL and NoSQL databases</li> <li>Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform</li> <li>Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements</li> </ul> The team Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership. Working at Unitary We are committed to creating a positive and inclusive culture built on genuine interest for each other's well-being. We offer progressive and market-leading benefits, including: <ul> <li>Flexible hours and location</li> <li>Competitive salary and equity package</li> <li>Occupational pension</li> <li>Generous paid parental leave</li> <li>Generous paid sick leave</li> <li>Annual budget for your professional development and growth</li> <li>Annual budget for your individual health and wellness</li> <li>Three team offsites to London or other exciting destinations in Europe</li> </ul><img src="https://www.jobg8.com/Tracking.aspx?CY95c1eotcwP9N7F5Lm8G74O0unjkptnd" width="0" height="0" />

Machine Learning Engineer - Customer Solutions

Faculty

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI.With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme .Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector.You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit. What you'll do: Technical Leadership and Delivery <ul><li>Provide hands-on technical guidance for complex, high-priority projects (40% of your time).</li><li>Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit.</li><li>Advise on solution architecture, advanced modelling and engineering best practices.</li><li>Identify and implement new tools and processes to enhance delivery quality.</li></ul>Team Leadership and Strategy<ul><li>Define and champion the technical vision for our professional and financial services clients.</li><li>Lead recruiting, team structure, and professional development for technical staff.</li><li>Collaborate with the Business Unit Director on commercial strategy and project resourcing.</li></ul>Business Development<ul><li>Act as a technical authority in client meetings to secure and expand market opportunities.</li><li>Create and share technical thought leadership through conferences, articles, and other media.</li><li>Identify new market opportunities and technologies.</li></ul> Who we're looking for <ul><li>An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery.</li><li>Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services.</li><li>Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals.</li><li>Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes.</li><li>Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders.</li><li>A proven interest in and ability to mentor and develop team members.</li><li>A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. </li></ul> What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.<img src="https://www.jobg8.com/Tracking.aspx?BrmZWvLiuv71d2ZuPy2i0u26jgRaeR9gs" width="0" height="0" />

Director, AI Engineering, Professional & Financial Services

Senior Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Overview Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers 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 capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Responsibilities <ul> <li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li> <li>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</li> <li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization</li> <li>Provide customer and market feedback to product and engineering teams to help define product direction</li> </ul> BASIC QUALIFICATIONS <ul> <li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work experience</li> <li>5+ years of hands on experience with Python to build, train, and evaluate models</li> <li>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</li> <li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li> <li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li> </ul> PREFERRED QUALIFICATIONS <ul> <li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li> <li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li> <li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li> <li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li> <li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li> <li>Track record of leading the design, implementation and delivery of scientifically- complex solutions that span multiple teams.</li> <li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</li> </ul> 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<img src="https://www.jobg8.com/Tracking.aspx?BrmZWvLiuv6EConFlJJTNQyFUmlw37xbs" width="0" height="0" />

Senior Applied Scientist, Generative AI Innovation Center

Speechmatics Limited

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.What you'll be doing:<ul><li>Drive diverse groups of engineers to achieve ambitious goals; you will work on complex R&D projects, and guide others by defining research milestones and collaborating together.</li><li>Raise the bar for machine learning at Speechmatics, by applying your innovative ideas and experiences to improve the efficiency, effectiveness, and best practices across all of our machine learning teams.</li><li>Set a forward-thinking vision for Speechmatics' business as a world leader in Voice AI; with your passion and understanding of the latest machine learning developments, you will influence our product and technical direction.</li><li>Grow the engineers around you through mentorship and support, ensuring we are all continuously improving together.</li></ul>This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience.Who we are looking for:<ul><li>Someone who can act as a tech lead and use their experience to be not only an example for their coworkers, but also a guardrail.</li><li>Demonstrated experience in collaboratively pursuing ambitiousR&D agendas.</li><li>Balances attention to detail with a view on the big-picture, long-term company vision, and is able to relate company goals to the goals of the team members they work with.</li><li>Deep understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Expertise in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).</li><li>With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Exceptional technical writing skills as evidenced by relevant publications or blogs.</li></ul>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. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job AlertInterested in building your career at Speechmatics? Get future opportunities sent straight to your email.Accepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileHow did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company.How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fFTc5cmVDFa7F%2f9IVBQHbC4t" width="0" height="0" />

Principal Machine Learning Engineer London, England, United Kingdom

Explore 74+ Applied machine learning engineer in London United Kingdom this November. Find roles across top companies and apply now to boost your career.