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Interested in improving the technology and features powering Alexa? Come work on it. We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services’ mission is to provide high-quality labelled data for machine learning (ML) technologies. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality, • Support hiring and training of new Associates, • Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis, • Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities, • Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies, • Track quality and utilization metrics, • File and track tickets, following up on blocks to productivity, • Provide regular, formal & informal feedback to direct reports, • Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean, • Communicate effectively in English A day in the life We are seeking an experienced team manager to join our operations in Cambridge to develop, manage, and support our Amazon Data Services team with Speech and language solutions. About the team The ADS team researches and delivers high-calibre multi-language Text-to-Speech technology, leading to voice quality and accuracy. • Bachelor Degree (Any Stream) or advanced college education or experience in a Leadership or related position with management., • Proficiency verbal and written communication skills in English, • Experience in understanding performance metrics and developing them to measure progress against key performance indicators, • Experience with process improvement/quality control tools and methods, • Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues, • Excellent communication, strong organizational skills and very detail-oriented, • Strong interest in hiring and developing people in their respective roles, • Leadership experience in coaching and performance management, • Experience in managing process and operational escalations, • Experience with aspects of speech and language technology, • Fluency in a foreign language (German, French or Italian) is a plus, • Experience in practical application of methodologies such as Kaizen, six sigma, or lean 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.

Interest or background in AI, machine learning, or creative tech tools.

An ambitious, deep-tech organisation at the forefront of biotechnology and artificial intelligence is seeking a visionary Head of AI to lead the development of next-generation biological foundation models. The client has two site locations, Cambridge, UK & Paris, France, and hybrid working from either office is required. Underpinned by the world’s most comprehensive and ethically sourced database of natural biodiversity, our platform enables cutting-edge research and discovery across academia and industry. Following a successful Series B funding round (£45 million), we are expanding our AI capabilities to develop state-of-the-art models and algorithms that will shape the future of biology and bioengineering. This is a unique opportunity to lead a high-performing AI team, influence partnerships with global technology leaders, and build on an exceptional data infrastructure that is entirely new to science. Key responsibilities • Lead and manage a team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and excellence, • Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust, scalable solutions, • Collaborate closely with interdisciplinary teams of biologists, bioinformaticians, and engineers to translate research objectives into applied outcomes, • Oversee multiple concurrent research streams, ensuring strategic alignment with organisational goals, • Contribute to the overall AI systems architecture, supporting the transition from research prototypes to production-level tools, • Represent the company’s AI leadership through academic and industry collaborations, conferences, and publications, • Provide mentorship and guidance to junior and senior members of the AI team, • Shape and execute a long-term AI strategy rooted in novel biological data and real-world application. Essential requirements • Postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology, or a related field, • At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical leadership role or 3 years in people management, • Strong publication record or equivalent practical expertise in areas such as generative AI, deep learning, or computational biology, • Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics, • Demonstrated success in leading high-impact AI projects and delivering real-world solutions, • Exceptional communication skills, capable of engaging with both technical and non-technical stakeholders, • Experience training large generative models, including distributed training across GPU clusters or cloud platforms (e.g., AWS, Azure), • Strong critical thinking, strategic planning, and problem-solving abilities. Desirable • Experience in protein or DNA bioinformatics, • Proficiency in MLOps and machine learning infrastructure, • Background in software engineering and data pipelines (e.g., using Airflow or similar tools), • Familiarity with cloud-based model deployment, • Exposure to Agile project management methodologies. This is a rare opportunity to shape the future of AI-driven biotechnology from both a strategic and technical perspective, working with a uniquely rich dataset and an ambitious cross-functional team.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development.As pioneers in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be at the bleeding edge of Voice AI, with STT, TTS, and Flow; our brand new Conversational A

You may also contribute to earlier-stage model development, helping refine and extend research prototypes into production-ready systems. The position offers the full spectrum of early-stage startup experience — from prototyping and technical problem-solving to strategic planning and cross-team col

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

Sr Applied Scientist, Hardware Devices Science Team. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom Machine Learning Hardware based on a revolutionary architecture.

Expertise in statistical modelling and/or machine learning, with experience applying advanced methods to complex, large-scale health or administrative datasets. Highly desirable experience includes risk prediction modelling (including survival analysis, competing risks, or multivariate outcomes), an

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.Learn more about this mission

Data Science/Machine Learning, GenAI, and MLOps experience (must have productionized models). Live coding assessment (1 hr) – focused on Exploratory Data Analysis, Machine Learning, and reflection.

Machine Learning Scientist, Automated Image Analysis.

Training and deploying the next generation of state-of-the-art models for biomolecule (DNA, RNA, and proteins) design. Scientific reinforcement learning environments to improve model performance. Proficiency with training, testing, and deploying models.

Terrana is seeking a senior Machine Learning Scientist to lead the development and integration of AI/ML methods that advance our understanding of RNA and peptide function in plant and microbial systems. Design and curate scalable, queryable data bases tailored for biological sequence data, structura

Researcher, BioEmu (Machine Learning & Molecular Biology).At Microsoft Research AI for Science, we believe machine learning and artificial intelligence have the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustaina

Good understanding of software engineering concepts, particularly with machine learning development. Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning. Experience with machine learning Python frameworks such as PyTorch, Tensorflo

This role is a product leadership position within Arm’s IoT team, focusing on the requirements through to definition of solutions covering the growing multimedia and vision requirements (ISP, GPU, Video, and Display processing) combined with emerging machine learning requirements for high performa

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements?Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for

As a Machine Learning Scientist in LLM Training & Inference Research, you will lead research on how we train and serve large language models for scientific applications.

Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. What’s special about this group is they do this dozens of times per year working across multiple domains. Please not

Work within our clients machine learning team to deploy and optimize models for applications like low-latency speech recognition and large language models (LLMs).

Developing and working with large software systems in programming languages like Python.

Experience utilizing PyTorch or other machine learning frameworks.

Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Research Engineer - 5490. Senior Research Engineer – Machine Learning – Microsoft Research.

Ability to move quickly in a dynamic environment.

Advise on construction of data pipelines to integrate industrial and economic data into our database and generate training data. Use and fine-tune out-of-the-box models for matching textual and quantitative data to entries in our emissions database with uncertainty estimation.

Interested in improving the technology and features powering Alexa? Come work on it.We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services.Alexa Data Services’ mission is to provide high-quality labelled data for machine learning (ML) tec

Strong Python software development skills (nice to have C++/other languages).

An exciting opportunity for a Senior Software Engineer with a leading technology company, based in Cambridge.This onsite role involves developing and enhancing AI features within their engineering tools, applying advanced AI and machine learning methods to solve complex technical challenges.Develop

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Research Associate* in Cancer Risk Modelling (Fixed Term) – Minderoo Centre for Technology and Democracy. Expertise in statistical modelling and/or machine learning, with experience applying advanced methods to complex, large-scale health or administrative datasets. Highly desirable: experience in

Expertise in statistical modelling and/or machine learning, with experience applying advanced methods to complex, large-scale health or administrative datasets. Highly desirable experience includes risk prediction modelling (including survival analysis, competing risks, or multivariate outcomes), an

Our artificial intelligence (AI), machine learning (ML) and image analysis programme is growing and covers many modalities.

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. Experimenting with distillation or quantisation to speed up our models at ru

Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic chemistry is a plus. Learn about the job from the Computational Chemistry List Job Listing at.

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000

As part of the CUP&A family, we operate Machine Learning (AI) research from the Cambridge University Institute for Automated Language Teaching and Assessment (ALTA) to provide automated assessment capabilities (automarking and automated feedback) for extended English learner text and speech.ALTA is

Experience developing and working with large software systems, especially in Python.

Machine Learning Engineer - Defence Sector - Cambridge. A growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence t

I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team. Strong Python and deep learning skills (PyTorch/TensorFlow).

Designing, building, and deploying software, infrastructure, and MLOps systems that leverage machine learning. Machine Learning Engineer - Defence & National Security.

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The OpportunityThis is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission crit

Machine Learning Engineer - 6-Month FTC. Senior Machine Learning Engineer.

Senior Machine Learning Engineer£90000-110000 GBPHybrid WORKINGLocation: Gloucester, South West - United Kingdom Type: PermanentSenior Machine Learning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required)To be eligible, candidates must hold so

Machine Learning Engineer Salary: Up to £90k + Equity Location: Fully Remote in UK I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engine

Machine Learning Engineer to help build the infrastructure, workflows, and systems that bring cutting-edge research to life.

I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team. Strong Python and deep learning skills (PyTorch/TensorFlow).