Machine Learning Engineer - Manager / Senior Consultant

London, England, United Kingdom

11/22/2024

Machine Learning Engineer (Manager / Senior Consultant)

About Baringa:

We set out to build the world’s most trusted consulting firm – creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector.

You’ll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life. Our clients love how we get to know what makes their organisations tick – slotting seamlessly into their teams and being proudly geeky about solving their challenges.

As a Certified B Corporation®, we've proven that we've built social and environmental good into every bit of what we do.

We have hubs in Europe, the US, Asia and Australia, and we work all around the world - from a wind farm in Wyoming to a boardroom in Berlin. Find us wherever there's a challenge to be tackled and an impact to be made.

Our Data, AI, Solutions & Engineering (DAISE) practice is looking for an experienced Machine Learning Engineer to join the team.

In DAISE, we are focused on delivering value-adding, sustainable data capabilities, aligned to our client’s specific needs. This expertise is applied across clients in all of our industry market sectors (Financial Services, Products & Services, Energy & Resources, Pharmaceutical & Lifesciences and Government).

What You Will Be Doing

You will be using your experience to help our clients solve their most important data challenges. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges. Typical engagements include:

• Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance
• Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure
• Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project
• Performing maturity assessments across clients’ Cloud / AI environments and recommending improvements
• Building ML strategy blueprints and advising clients on the different technology options (MLFlow vs Sagemaker vs W&B etc)
• Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, principles and standards
• Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)
• Working with clients in key areas of ML model governance, such as in defining principles including fairness, transparency, interpretability, and accountability.
• “I've been working with a large energy client to build a new intranet integrating internal and external services, including a smart assistant utilising GPT models and latest cloud technologies in Azure. It is great to get hands-on experience with GPT models and is rewarding to see the model we've pulled together is able to perform to the level that meets the client's expectation. Working at Baringa has given me so many opportunities to work on various innovative and exciting new technologies and ideas. I have since expanded the spectrum of my skills and I really enjoy that.” – Jane C., Senior Consultant
  
  

Your Skills And Experience

We are seeking passionate and dynamic ML engineers who are excited by building production ML solutions, and keen to take an active part in the growth of the company. We’re looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life.

Below We List Some Of The Skills We Are Looking For. Of Course, Do Not Expect You To Be An Expert In All Areas And We Understand That Experiences Vary Based On The Background And Years Of Experience:

• Passionate individual who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements
• Solid foundations in ML modelling, comfortable with a range of supervised and unsupervised ML algorithms
• Interested in building AI applications, ranging from image recognition application to large language model based chatbots
• Ability to design and maintain ML pipelines and architectures on modern frameworks to meet functional business requirements.
• 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)
• Knowledge and experience of deep learning frameworks (e.g., PyTorch, Tensorflow)
• Proven ability to build ML model deployment pipelines in a scalable production environment
• Competent in Python or one other modern programming languages
• A degree in a technical discipline (computer science, engineering or another STEM discipline) would be helpful but is not essential for success
• Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you.
  
  

We recruit individuals at all levels based on merit. Don’t worry about ‘fitting into a quota’ – if you’ve got the skills we are after we would love to talk to you.

What a Career At Baringa Will Give You

Putting People First.

Baringa Is a People First Company And Wellbeing Is At The Forefront Of Our Culture. We Recognise The Importance Of Work-life Balance And Flexible Working And Provide Our Staff Amazing Benefits. Some Of These Benefits Include:

• 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.
  
  

Diversity and Inclusion.

We are 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.

An award-winning workplace.

You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this.

Using business as a force for good.

At Baringa we believe that everyone creates a lasting impact when you put people - customers, employees, investors, suppliers, and society – first. Our B Corp™ certification shows that we’ve met and held ourselves accountable to high standards of social and environmental performance and transparency. Our award-winning people-first philosophy makes us distinctive - Be Kind. Be Curious. Be Great at Work.

We’re proud of our recent exploration of kindness and its role in business in our first-ever brand campaign: Economics of Kindness . You can see some additional recent impact work by clicking here .

Join us

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. Please contact a member of our Recruitment Team to discuss further.