Machine Learning Engineer

Peregrine; Derry/Londonderry; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Peregrine is seeking a Machine Learning Engineer to join our new data science team. This role involves building infrastructure for data acquisition, model deployment, and collaborating with data scientists to enhance data-driven decisions. Ideal candidates will have strong python skills and a passion for data.

Benefits

Life Assurance

5% annual bonus

Pension Scheme - Employer matched to 5%

Voluntary Benefits - Health Cash Plan, Dental, Will Writing

Annual Leave - 23 days, rising to 27

Sick Pay

Qualifications

• Experience in developing predictive and prescriptive analysis.
• Good understanding of challenges of migrating research code into production.
• Ability to apply machine learning knowledge to solve business problems.

Responsibilities

• Ownership of the deployment framework for all data science services.
• Oversight of the automation of the data science life cycle.
• Collaborate with data scientists and data engineers on deployment lifecycle.

Skills

Python programming

Software engineering best practices

TDD

Cloud native deployments

Data science principles

CI/CD

Education

Graduate or Postgraduate qualification in a relevant discipline

Tools

Databricks

TensorFlow

CatBoost

XGBoost

SKlearn

Pandas

Job description

At Peregrine, we???re constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector ??? we are always in search of the best talent to place, now.

How Specialist Talent Works

At Peregrine, we find the best talent for our clients. Unlike traditional contractors, where you are hired by the client, you remain a permanent employee of Peregrine, with access to all our standard benefits:

??A Permanent Position

??Life Assurance

??5% annual bonus

??Pension Scheme ??? Employer matched to 5%

??Voluntary Benefits ??? Health Cash Plan, Dental, Will Writing etc

??Annual Leave ??? 23 days rising to 27 with length of service

??Sick Pay ??? Increasing with length of service

Role overview:Machine Learning Engineer (Manchester or London, Hybrid working)

We are looking for an experienced Machine Learning Engineer to join a newly formed data science team.You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azure???s native platform and in DataBricks.You will be working closely with data scientists in a skills crossover methodology, and will contribute to the data science workflow, discussions and development, but still maintain a key function in the graduation of models from research into production.

This is an ideal role for an individual who is passionate about the use of data science to influence decisions and is keen to learn more about delivering value using data.

Key responsibilities

??Ownership of the deployment framework for all data science services.You will have oversight of how data will flow into the data science life cycle from the wider business data warehouse

??Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production

??Good understanding of core data science principles and understanding of challenges of migrating research code into production code

??Interest and ability to work closely with a team and collaborate on all aspects of the data science and deployment lifecycle

??Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the organisation.

??Writing high quality python code using industry best practice for model training and deployment

Skills criteria

??Strong python programming skills

??Good knowledge of software engineering best practice

??Experience with TDD (pytest or equivalent)

??Experience with cloud native deployments (currently in Databricks and Azure)

??Experience with Databricks

??Experience with managed endpoints, AKS or equivalent

??Experience with VCS

??Experience with CI/CD

??Understanding / identifying opportunity to apply machine learning knowledge to solve business problems

??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience

Desirable skills

??Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics

??Experience of data science in finance, insurance or Ecommerce is an advantage but not required.

??Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas

If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to find out more information about this exciting opportunity.

About us:

At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with our clients, and deliver flexible solutions for every resourcing need, both now and in the future. Together, we help our clients to engage, develop and harness the skills they need to achieve and grow the workforce they want.

Our culture:

At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and we???re always ready to help each other out. And we believe that our work can benefit society ??? whether it???s finding the digital talent of the future or being a driver for social mobility.

Our commitment to diversity:

At Peregrine, we???re proudly committed to championing diversity and inclusion, with company-wide initiatives to drive greater social mobility and reduce our environmental impact. Our teams represent a huge breadth of cultures, languages, and ethnicities, and over 20 different nationalities. We also employ candidates from a range of educational and socioeconomic backgrounds. Our partnerships with numerous charities ensure that we can stay well-informed and continue to improve our practices for the future. It reflects in the way we recruit for our clients as we assist them in becoming more diverse.