At a Glance
- Tasks: Develop and deploy machine learning models for a cutting-edge analytics platform.
- Company: Join a fast-paced crypto start-up leading in innovative technology.
- Benefits: Enjoy fully remote work and competitive salary up to £100,000.
- Other info: Collaborate with dynamic teams on data-driven projects in a rapidly evolving industry.
- Why this job: Be at the forefront of innovation in the exciting world of cryptocurrency.
- Qualifications: Experience in machine learning, Python, and a passion for blockchain technologies required.
The predicted salary is between 60000 - 84000 £ per year.
Senior Machine Learning Engineer
London, Hybrid (Twice Per Week)
Up to £110,000 + 20% Bonus
This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.
The Company
They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.
The Role
You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready.
Key responsibilities include:
- Building and deploying machine learning models into live production environments
- Designing and maintaining MLOps workflows, including model lifecycle management
- Developing APIs and containerised services to support ML products
- Implementing DevOps best practices across development and production
- Collaborating cross functionally to align data, modelling, and business requirements
Your Skills and Experience
- Strong commercial experience developing machine learning solutions in Python
- Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow
- Experience building and deploying containerised services and APIs
- Working knowledge of SQL and data driven application development
- Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure
- Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial
What They Offer
- Salary up to £110,000 plus a 20% bonus
- Hybrid working with two days per week in the London office
- Exposure to varied, high impact machine learning projects
- Clear scope for technical ownership and career progression
- A collaborative culture with strong investment in data and AI capability
#J-18808-Ljbffr
Senior Machine Learning Engineer employer: Harnham
Join a dynamic and forward-thinking B2B company that prioritises data-driven decision making and offers a fully remote work environment across the UK. With a strong focus on employee growth, you will have the opportunity to lead a talented team while shaping the marketing analytics strategy in a rapidly expanding organisation. Enjoy a collaborative work culture that values innovation and provides significant investment in your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and cryptocurrency. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the crypto and machine learning sectors. Attend virtual meetups, webinars, or conferences to connect with like-minded individuals. Building relationships can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source initiatives. Create a portfolio that highlights your machine learning models and any relevant work in the crypto space. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to machine learning. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Machine Learning Engineer. Focus on relevant projects, particularly those involving Python, TensorFlow, or similar frameworks, and emphasise your understanding of algorithms and data modelling.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for cryptocurrency and blockchain technologies. Explain why you are excited about the opportunity to work in a fast-paced crypto start-up and how your skills align with their needs.
Showcase Relevant Projects:Include specific examples of machine learning models you have developed or deployed. Highlight any innovative, data-driven projects you've worked on, especially those related to the crypto space, to demonstrate your expertise.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial for a role in a cutting-edge technology environment.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and frameworks like Python and TensorFlow. Bring examples of projects you've worked on, highlighting your role in developing and deploying models.
✨Demonstrate Your Passion for Crypto
Since the company operates in the crypto space, express your enthusiasm for cryptocurrency and blockchain technologies. Share any personal projects or research you've done related to these areas to show your genuine interest.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when tackling complex issues, especially those related to data modelling.
✨Emphasise Collaboration Skills
As the role involves working with cross-functional teams, highlight your ability to collaborate effectively. Share examples of how you've successfully worked with others to implement AI-driven solutions in previous roles.
