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Architect - Machine Learning - Data Engineering
Slalom Build
2021-12-03 09:03:24
Barkingside,
Greater London,
United Kingdom
Job type: fulltime
Job industry: Engineering
Job description
At Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realise what's possible. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow.
About the role:
As an Architect, you'll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, ML Ops components, and other big data related technologies. This includes helping craft projects in their initial phases and delivering them with a team.
Responsibilities:
- Provide Machine Learning thought leadership and vision internally and to clients. Build a sense of community and encourage a culture of collaboration and curiosity
- Implement models and algorithms on multiple cloud providers
- Write in Python or other languages to deliver a wide variety of Machine Learning & Data Science solutions
- Recommend and implement architecture to deploy machine leaning pipelines and CI/CD processes at scale
- Stay abreast of new tools, packages, and Machine Learning techniques and consistently push the limit of what is possible to deliver the best solutions
- Collaborate with Product Owners to apply Slalom's agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role
- Explains model results to technical and non-technical audiences including leading highly technical presentations
- Lead and mentor engineers and machine learning practitioners. Lead smaller projects (3 to 5 people) as the technical lead from project initiation to delivery
- Share project findings with the wider Machine Learning group
- Build and maintain relationships with customers
- Collaborate with a variety of stakeholders across the Slalom organisation
- Will be delivery-focused approximately 85-95% of the time
- Experience implementing models or machine learning algorithms in production
- Experience on any of these cloud platforms (AWS, Azure, GCP)
- Experience developing models and other data science work - Python (preferred) or R
- Recognised as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques
- Ability to lead exploratory data analysis within new subject matters or new data structures
- Familiarity with Agile project delivery
- Excellent verbal and written communication skills
- Proficiency with both Linux and Windows
- Private pension
- Private health insurance
- Dental insurance
- Pension contribution
- Choice from MacBooks and Dell Developer laptops
- Flexi-working
- Awesome Swag
- Free snacks, booze, fruit & coffee in the office
- Bonus scheme
- Cycle to work scheme
- Thrive benefit
- Phone & internet bills covered
- Chat with our friendly recruiter (30 mins)
- Initial Interview (60 mins) - phone / virtual run through core competencies
- Skills - (60 mins) - technical whiteboarding with the team
- Behavioural 1 (45 mins) - meeting the team
- Behavioral 2 (45 mins) - meeting the team
- Closing interview (30 mins) - meeting with our MD