
machine learning engineer Manchester, England
Job description
The role offers an exciting opportunity to work with leading-edge technologies, deliver ML/AI-driven solutions and play a highly visible role partnering closely with multiple clients and our Data leadership teams globally.
RESPONSIBILITIES
- Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients
- Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
- Collaborate with cross-functional teams to define project scope, develop data models, and apply appropriate ML algorithms to deliver high-quality solutions
- Lead the identification of new ML/AI opportunities, either through selling solutions or securing funding, by leveraging your technical expertise and engaging senior decision-makers
- Shape data solutions and properly scope / price engagements, establishing optimal operating models and project team organisation, and leading the transition from the sales process to the delivery phase
- Lead the evaluation and selection of ML/AI tools, frameworks, and technologies, ensuring their alignment with business objectives and technical requirements
- Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
- Engage client stakeholders at the executive / C-level, helping them drive enterprise-wide agenda to maximize growth
- Provide guidance and mentorship to junior team members, fostering their professional growth and development in ML/AI
- Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
- Support sales / pre-sales activities by assessing Data opportunities, responding to RFP’s, creating proposals and presentations
REQUIREMENTS
- Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience
- Strong experience in a senior/leadership role within Data & Analytics/ML/AI
- Proven track record in designing and implementing ML/AI solutions
- Solid understanding of ML algorithms, data pre-processing, feature selection, and model evaluation techniques
- Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships
- Technical proficiency in programming languages such as Python, R, or Java, and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn
- Confident in expressing points-of-view, making recommendations and presenting analysis and recommendations up to board level where appropriate
- Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
- Consulting and pre-sales experience is a plus, but not mandatory
WE OFFER
- We offer a range of benefits including
- A competitive group pension plan, life assurance and income protection
- Private medical insurance, private dental care and critical illness cover
- Cycle scheme Tech scheme and season ticket loan
- Employee assistance program
- Unlimited access to LinkedIn learning solutions
- EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
- Various perks such as Gym discount, Friday lunch, on-site massage and regular social events
- Some of these benefits may be available only after you have passed your probationary period
ABOUT EPAM
- EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
