(Senior) Machine Learning Engineer

1 month ago

London, United Kingdom Pacific Asset Management, LLC Full time

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer
Apply locations London, UK time type Full time posted on Posted 2 Days Ago job requisition id R11935 Job Title
Senior Machine Learning Engineer Job Description
We are looking for candidates with a proven track record in the implementation and deployment of machine learning models. Established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment.
We value candidates who not only possess the foresight of a data scientist but also excel as accomplished MLOps Engineers.

Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets.
Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process.
Crafting and refining Machine Learning models and algorithms to address complex product challenges.
Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources.
Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data.
Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement.
Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility.
Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards.
Champion our data science and machine learning within the team.
Staying curious and keeping abreast of emerging trends across data science and MLOps.
Mentoring fellow data scientists within the team, setting a high standard through exemplary practices.
Qualities we are looking for?
ML Lifecycle Enthusiast : Understands and has an interest in the full machine learning lifecycle, including deploying trained machine learning models developed using the latest frameworks.
Software Engineering Experience : Brings experience in Software Engineering, including proficiency in Test-Driven Development (TDD) and programming in Python.
Technical experience of cloud architecture, security, deployment, and open-source tools. Product-Led : Experience working in product-led organizations and is well-versed in agile team dynamics, leveraging methodologies such as OKRs to streamline work objectives.
PhD or Master's in Computer Science, Machine Learning, or a related field

UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. 
a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America
• Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You’d be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step.
We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities.
Stakeholder Pension Scheme
• Life Assurance
• Subsidised Gym Membership
• Private Medical Insurance
• Season Ticket Loan
• Employee Assistance Programme
• As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided.
UnderwriteMe is transforming the life insurance industry through technology by bringing Insurers, Intermediaries and Customers closer together in the marketplace. We recognise the need to change the life insurance application journey from a complicated, inefficient experience to one that makes the buying process easier and faster for customers and advisers alike.

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