Job Title
Principal Machine Learning Engineer
Job Description
Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights.
We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Artificial Intelligence and Machine Learning initiatives.
This is a hybrid role - three days per week in our London office.
If you share our excitement for applying artificial intelligence and machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!
You will:
•Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows
•Develop our internal ML platform to support our machine learning systems and our own efficiency
•Monitor and optimize the quality and performance of our models, services, and tools
•Collaborate with our AI Platform team to extend the capabilities of our machine learning platform
•Design and write robust production-quality code to support our machine learning systems
•Build and operate pipelines for accessing and enriching data for machine learning
•Train, tune, and ship models
•Mentor other ML engineers, software engineers, and data scientists in best practices
•Work with product managers and data scientists to translate product/business problems into tractable machine learning solutions
Key Responsibilities
You have:
•Keen interest in artificial intelligence and machine learning and extensive practical experience with it
•Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS)
•Extensive experience with cloud environments (AWS, Azure, GCP)
•Ability to write highly performant code working with big data
•Bachelor's degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. computer science/engineering, statistics, applied math)
•Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modelling
•Strong quantitative and analytical skills with significant experience with data science tools
•Ability to communicate complex ideas in machine learning to non-technical stakeholders
You may have:
•Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker
•Strong theoretical foundations in linear algebra, probability theory, or optimization
•Experience and training in finance and operations domains
•Deep experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent
•Experience wrangling complex and diverse data to solve real-world problems
What's it like to work here:
You will have an opportunity to work in an environment where ML engineering is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable, and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.
Function
Product
Country
United Kingdom
Office Location
London
Work Place type
Hybrid
Advert
Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.
Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
Learn more about working at Sage: sage.com/en-gb/company/careers/working-at-sage/
Watch a video about our culture: youtube.com/watch?v=qIoiCpZH-QE
We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at .
Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/
The latest news, articles, and resources, sent to your inbox weekly.
Senior/Principal ML Engineer (R&D) – AI Incubator – upto £150k +equity – Remote (UK/EU)Are you an expert in AI?Have you ever had an idea that you thought would be a great startup?Would you like to make ideas into reality?Who are we?We’re a startup incubator, founded by a successful tech entrepreneur...
MBN Solutions
Unitary’s purpose is to make the internet safer to improve lives and create a fairer world. We are a rapidly growing start-up developing best-in-class AI models that automatically detect and classify harmful content online. Our AI combines the strengths of human moderation (accurate video classification) with the benefits of automated...
Unitary London
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran...
Wayve London
We are on a mission to help build and accelerate the internet of tomorrow. We obsess about customer experience and strive towards constant innovation, with the goal of helping companies and developers build a faster, safer, and more reliable internet.bunny.netis where individual imaginations gather together to solve next-generation internet challenges....
bunny.net London
Principal Machine Learning Engineer - Remote – Early Stage Start Up: Wealth Management – Basic salary of up to £110,000 in addition to equity options.Hays have partnered with a cutting edge early-stage startup who are expected to seriously disrupt the global Wealth Management & Financial Advisory sector across the next...
Hays London
Role DescriptionThe OpportunityAt Unity, our Inclusion is driven by one overarching framework: Empathy, Respect, and Opportunity. In a collaborative, fast-growing environment, we are solving hard problems, and enabling the success of our community. At Unity, you will make a difference. In the Unity Ads Applied Research team, we envision and...
Unity London
