125 Machine Learning Developer jobs in London

• Assist in the design, development, and testing of machine learning models and algorithms.
• Write clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborate with senior developers and data scientists to implement and deploy AI-powered applications.
• Contribute to data preprocessing, feature engineering, and model evaluation tasks.
• Participate in code reviews and team meetings, providing valuable input and feedback.
• Research and explore new AI/ML technologies and techniques to enhance product capabilities.
• Assist in the creation of technical documentation and user guides.
• Gain hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Support the troubleshooting and debugging of software issues.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or a related quantitative field.
• Solid understanding of programming fundamentals and data structures.
• Familiarity with AI/ML concepts, libraries (e.g., TensorFlow, PyTorch, scikit-learn), and frameworks is a strong advantage.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies.
• A genuine passion for AI and its potential applications.

• Assist in the design, development, and implementation of AI and Machine Learning algorithms and models.
• Write clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborate with senior developers and researchers to test and validate AI solutions.
• Contribute to data preprocessing, feature engineering, and model training pipelines.
• Participate in code reviews and contribute to improving software development best practices.
• Research and explore new AI/ML techniques and technologies.
• Assist in the development of APIs and tools for integrating AI models into existing systems.
• Troubleshoot and debug software issues related to AI/ML applications.
• Prepare technical documentation and presentations on project progress and findings.
• Work effectively within a fully remote, collaborative team environment.

• Recently graduated or on track to graduate with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field.
• Solid understanding of fundamental AI/ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in Python is essential. Experience with other programming languages like Java or C++ is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to learn quickly and adapt to new technologies in a remote setting.
• A genuine passion for AI/ML and a desire to build a career in this exciting field.
• Previous project experience, personal projects, or contributions to open-source AI/ML projects are highly regarded.
• Familiarity with cloud platforms (AWS, Azure, GCP) is beneficial.

Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.

• Interact with our clients on regular basis, to drive their business towards impactful change.

• Work in multidisciplinary teams and learn from motivated colleagues.

• A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.

• Become part of a fast growing international and diverse team.

• Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.

• Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.

• Communicate analyses via compelling presentations.

• Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.

• Prepare and facilitating workshops.

• Manage stakeholders and communicating with executives.

• Coach and mentor team members.

• 3-5 years of professional work experience in the analytics domain.

• An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).

• An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.

• Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.

• Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).

• Ability to talk the language of statistics, finance, and economics a plus.

• Profound knowledge of the English language.

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

About Low Carbon

Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.

Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.

All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.

We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.

Role Description

The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.

In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.

For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals

Key Responsibilities

Working with other interns and project mentors, you will:

• Use Data Science to help solve a specific, live business challenge at Low Carbon
• Frame and structure practical solutions to challenging business problems
• Work in Agile Sprints to iteratively design, test and run trial solutions
• Present findings and key recommendations to senior stakeholders

Person Specification

• Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
• A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
• Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
• An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
• Energetic, reliable, adaptable and used to using their initiative
• A friendly, approachable and professional manner

Skills & Experience

• Practical experience of Programming in Python
• Demonstrable Data Science project experience (inside or outside classroom)
• Sound knowledge of fundamental statistical concepts
• Excellent problem-solving ability
• Ability to communicate results and present findings to a variety of stakeholders

Our Compensation & Benefits

• Competitive salary
• 26 days holiday + your birthday off (pro-rata for the duration of your internship)
• Lots of office social events
• Working in newly fit-out offices in Central London
• Get to work with an experienced, talented team of renewable energy professionals
• Be a part of a dynamic, entrepreneurial mission driven culture
• Make your unique contribution to the fight against climate change

We’re looking for an inspirational leader that understands and respects the honorable burden of leading fellow brilliant minds. Someone that will have a say in how our data science team executes and how we stay true to our values.

Your mission will be to run a world-class, highly efficient, and business-impact-driving data science team. Under your leadership, this team will balance:

Delivering applicative DS models that power our market-leading innovative products.

Research Lab functionality through DS, allowing the Data Org’s proactive identification of thematic opportunities for the business.

This is a unique opportunity to shape the strategy, methodology, and execution patterns of this vital data function. And lead the team and data culture at a global, data-driven company that creates worlds beyond gameplay and brings communities together.

• Serve as a Heart-First, People-First, Leader
• Exemplify the values we live by. Know and care for the people in your teams out of the understanding that, as a leader, you work for them.
• Nurture a blameless culture. Inspire, develop, and guide your team members to be the best that they can be.
• Formalize your team’s identity to one everyone wants to be a part of.
• Excel as a Senior Manager
• Build the processes that make us run efficiently. That automates the ordinary so we can focus on the extraordinary.
• Be a champion of best practices for project management, and find the right recipe that makes your teams demonstrate high performance.
• Prioritize pragmatically, communicate effectively, and know when to juggle and when to focus.
• Business & Data Focus
• Know the data - Ask ALL the whys, relentlessly, until you know it inside-out. Instill that same rigor in your teams and push context to the entire Data Org.
• Bring Business Value - Obsess about designing DS products that serve the business needs and provide empirical lasting value . You’re not here to produce models but to create measurable quality and impact.
• Be the Face of Your Teams
• Create strong bonds & true partnerships with your stakeholders at the product, company leadership, and data leadership level.
• Translate DS needs from strategic conversations to the day-to-month actions your teams will take.
• Tell the stories of your teams’ deliverables, know how important it is to create awareness, and bridge the gap between non-technical people and what your team does
• Leadership Team Member
• Demonstrate a servant-leadership mindset. Passionately deliver people, process, and culture-enabling products to our team members. Consistently.
• Be willing and able to continuously be expected to learn and improve as a leader and a manager. Challenge and be challenged to develop together.
• Be deliberate about our leadership team’s culture. Spend time with your fellow leaders, laugh together, cry together, and be who you really are.

Requirements

EXPERIENCE

• Data Science Lifecycle
• You have experience in building towards the bigger picture of the ecosystem you’re working in: adding to Data Quality, Monitoring/Observability tools, etc. You know your code will not exist in a void.
• You’ve participated in shaping a CI/CD process of a data science portfolio before. It’s not only about taking a model to production; it’s about maintaining many of them in a constant optimal state.
• You’ve learned and have honed your method of how you pragmatically identify and prioritize the most promising hypotheses.
• You have examples of every business metric you’ve moved through DS, as this is the best way you’ve learned to measure your impact.
• Science Hands-On
• You have a rich experience with many EDA techniques. You know how to use the right one for a specific problem.
• You have a track record of end-to-end model delivery by yourself. Developing, training, deploying, you’ve been through it all and know how to navigate the lifecycle efficiently.
• You have a large toolbox you’ve been assembling for years, from R/Python, through SQL, statistical methods, distributed "big data" technologies (e.g., Spark, Hive, BigQuery, redshift), GCP/AWS/Azure ecosystems and their different SaaS experience. And you know when to use the right tool for the job and not the other way around.
• Stakeholder management
• You are proficient in translating data science efforts into business language, you understand that “if you can’t explain it simply, you don’t really understand it”
• You spent your time and energy creating strong relationships with other teams. Whether they were in product or internally in analytics, you can speak the language that will create bonds. And have a track record to show it.
• Progression of Champions
• A history of experience through the trenches: growing up in statistics, analytics, and DS, serving as a tech lead, leading scientists, Seniors, and Staff scientists.
• You wore different hats, and you’ve walked a mile in different shoes.

• You like to have a good time while getting things done. When we say a “team player,” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
• You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool.

• Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.
• You make the time to cheer and enjoy the ride.