Machine Learning Engineer, Baringa
Solutions & AI Lab
2-3 days a week in office (London Victoria)
A Global consultancy solving complex client challenges with AI-driven solutions
Open for applications
A Global consultancy solving complex client challenges with AI-driven solutions
1001+ employees
Open for applications
2-3 days a week in office (London Victoria)
1001+ employees
Company mission
To build the world’s most trusted consulting firm – solving complex client challenges through cutting-edge AI solutions and cloud-native engineering.
Role
Who you are
- Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements life
- Advanced degree in computer science, mathematics, physics, engineering or related STEM field
- Strong problem-solving skills and solid grounding in classical machine learning and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning
- Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents
- Proven ability to build machine learning models and pipelines using Python and common machine learning and deep learning libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments
- Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design
- Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)
What the job involves
- Define and implement machine learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance
- Establish and develop ML Ops frameworks and standards for clients
- Perform maturity assessments across clients’ Cloud/AI environments and recommend improvements
- Build ML strategy blueprints and advise clients on the different technology options
- Translate business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisation's strategy, policies and standards and in some cases, help customers to define new policies, philosophies and standards
- Help clients to identify risks and mitigations for their machine learning and data science programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)
- Work with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability
Application process
- Initial screen with an internal recruiter (30 minutes)
- First interview with the Hiring Manager (1 hour)
- Case study interview with 2 Senior members of the team (2 hours, self contained)
- Final Interview with the Lead Partner (1 hour)
Salary benchmarks
Our take
Management consultancy firm Baringa has been paving the way for the industry since the turn of the 21st century. Working across a wealth of high-value industries, its expertise has led to rankings in the Financial Times list of leading management consultancies for several years running.
What sets Baringa apart is its focus on digitisation. As AI takes hold within core industries such as energy and finance, Baringa has been helping its clients implement value-adding uses for these technologies, which has led to recognition as an AI expert.
80% of its clients, which include both FTSE 100 companies and exciting new startups, come from referrals, recommendations and returning business, indicating Baringa’s consultancy status as a safe pair of hands. Its client list includes international government departments, green energy companies and pharmaceuticals, and Baringa’s influence now spans across Australia, Europe, Asia and North America.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service
- Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave
- Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us.
- Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice
- Career Progression: No one develops at the same pace. That’s why we have quarterly rather than annual promotion reviews. We don’t have any quotas: if you’re ready and delivering at the right level, you’ll get that promotion
- Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success
- Training & Development: 10 training points refreshed yearly (totalling £5000), that can be spent freely on self development initiatives examples: - Conference: Microsoft Build, AWS Re-Invent, AWS Summit London, Hashicorp Hashidays. - Certifications: AWS, Azure, GCP, Hashicorp, Github - Training: Python, TypeScript .etc - Learning Platform: LinkedIn Learning, Cloud Academy, Plural-sight, Udemy - Hackathons: Planned Team Building Days - Further Education: MSc, PhD
- Book Allowance: We offer a generous book allowance for employees to help expand our library. - Physical Books - Digital Books - Annual Subscriptions: Medium.com - Financial Times Membership
Company values
- Be kind - Our people are the key to growing our business and creating impact that lasts. And it all starts with being kind to each other, our clients, and ourselves. We believe in building inclusive, collaborative and compassionate environments for all, and thrive on teamwork and developing strong relationships. We've even been in the top 10 Great Places to Work for the last 17 consecutive years!
- Be curious - We’re gleefully geeky about the industries we work in. In fact, we thrive in every opportunity we get to immerse ourselves and bring our deep knowledge and expertise to our clients. We are excited by those with a growth mindset, who demonstrate innovation and are passionate about what they do. We're committed to training and development!
- Be great - Our clients love how we’re always part of the team – how we get to know them and work out what makes their businesses tick. We’re passionate about tackling their biggest, most strategic challenges and leaving them better equipped to handle the next one. Behaviours in our teams such as integrity, ownership, and having pride in high quality work make us who we are.
Company HQ
Westminster, London, UK
Articles
Leadership
Kelly Hume
(Partner, Solutions and AI Lab)A Partner at Baringa for 6 years. Business Unit Lead for the Solutions and AI Lab team. Specialisms in all aspects of data.
Ed Sharkey
(Partner, Solutions and AI Lab)A Partner at Baringa for almost 5 years, promoted twice. Specialisms in machine learning and data science.
People progressing
A Manager with Baringa for 4 years, promoted twice. Specialisms in data science, machine learning and software development.
A Manager with Baringa for almost 6 years, promoted 3 times. Specialisms in data science and machine learning.
A Director with Baringa for 4.5 years, promoted twice. Specialisms in all aspects of the Solutions and AI Lab team.
A Senior Manager with Baringa for almost 5 years, promoted twice. Specialisms in devops, infrastructure, architecture and cloud security (AWS and Azure).
Manager with Baringa for 3.5 years. Specialisms in machine learning and data science.
Manager at Baringa for 5 years. Joined following a summer internship & has since been promoted 3 times. Specialisms in full stack software development.
Manager at Baringa for 6 years. Specialisms in generative AI and data science.
Diversity, Equity & Inclusion at Baringa
Bethaney Leeson (DEI Advisor)
- We're proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people.
- All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed.
- We have plenty of communities and networks in Baringa, helping everyone have a sense of belonging, celebrating diversity and keep inclusion is a top priority. These range from neurodiversity, ethnic diversity, gender diversity, interfaith, LGBTQIA+, social mobility, carers, working parents, flexible workers, disability and long term health conditions, and even those transitioning from Industry to Consulting environments. Our regular social events also take into consideration people from all walks of life!
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