Software / Machine Learning Engineer Job at Prima (Milan)

New

Software / Machine Learning Engineer

Are you looking for a new challenge? Fancy helping us shape the future of motor ...

Location

United Kingdom , London

Salary:

Not provided

Prima

Expiration Date

Until further notice

Requirements

Software Engineer First: You’re a strong software engineer at heart
Analytical Prowess: Strong quantitative, logical, and analytical skills are essential
Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI
Proficient with RDBMS ( Postgres )
Broad ML Knowledge: You have a solid grasp of various machine learning paradigms

Job Responsibility

Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform
Analyze and interpret complex data to support the claims management lifecycle
Contribute directly to the company’s growth and long-term success through actionable insights
Collaborate with cross-functional teams to transform data into intelligence and intelligence into action

What we offer

Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year
Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you
Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support

Fulltime

New

Software / Machine Learning Engineer

Are you looking for a new challenge? Fancy helping us shape the future of motor ...

Location

Spain , Madrid

Salary:

Not provided

Prima

Expiration Date

Until further notice

Requirements

Software Engineer First: You’re a strong software engineer at heart: you write clean, maintainable, and production-ready code. While you're comfortable handling data, generating insights, and training machine learning models, you approach these tasks with a software engineering mindset, prioritizing scalability, reliability, and performance.
Analytical Prowess: Strong quantitative, logical, and analytical skills are essential.
Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI.
Proficient with RDBMS ( Postgres )
Broad ML Knowledge: You have a solid grasp of various machine learning paradigms: from classical models to cutting-edge approaches like deep learning, computer vision, and generative AI. You know when and how to apply the right technique to solve real-world problems effectively.

Job Responsibility

Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform.
Analyze and interpret complex data to support the claims management lifecycle.
Contribute directly to the company’s growth and long-term success through actionable insights.
Collaborate with cross-functional teams to transform data into intelligence and intelligence into action

What we offer

Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
Grow with us: Get access to learning resources, mentorship and a growth plan tailored to you.
Thrive and perform: Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Fulltime

Machine Learning Software Engineer

In this role, you will design, build, and optimize robust ML models, data pipeli...

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 08, 2026

Requirements

BSc. or MSc. degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or an equivalent quantitative discipline
Minimum of 3+ years of professional experience successfully delivering AI/ML projects
Minimum of 2+ years operating explicitly as a software developer within a structured delivery team
Mastery of ML algorithms, techniques, and Agentic frameworks, with the proven ability to optimize models with minimal supervision
Advanced expertise in at least two common development languages (e.g., Python, Java, C#)
Proficient working knowledge of general Python data packages and relational/non-relational databases and query engines (e.g., SQL)
Strong foundational knowledge of DevOps automation practices and building production solutions within AWS
Proficient with statistical concepts and capable of applying rigorous statistical thinking to solve complex business problems

Job Responsibility

Build, optimize, and scale machine learning models and end-to-end data pipelines
Design and implement critical operational aspects of model deployment, including automation pipelines, continuous monitoring, and automated drift detection
Transition experimental models and prototypes into robust, maintainable, and production-grade software applications
Participate in research experiments and rapid prototyping to validate next-generation AI concepts
Provide core software engineering expertise to internal data analytics and data science delivery teams
Apply strict software development best practices, including Test-Driven Development (TDD) and automated CI/CD workflows
Review requirements, map system dependencies, and provide accurate implementation effort estimations during team planning sessions
Test, debug, and optimize application code to eliminate performance bottlenecks
Conduct thorough code reviews and provide constructive feedback to elevate overall team code quality
Collaborate closely with architects, data scientists, product teams, and business stakeholders to translate high-level goals into functional ML architectures

What we offer

Cutting-Edge AI Scope: Direct involvement in building and optimizing both traditional ML models and next-generation Agentic solutions with a high degree of autonomy
End-to-End Technical Ownership: Lead the operational deployment (MLOps) of AI models, directly influencing infrastructure automation, model tracking, and system performance
Cross-Functional Collaboration: Serve as the technical software anchor within a diverse ecosystem of data scientists, enterprise architects, and product managers
Modern Cloud Stack: Deepen your expertise in cloud-native deployment using AWS, enterprise data pipelines, and advanced platforms like Databricks

Software Machine Learning Engineer

As a Machine Learning Engineer, you will design, develop, and deploy applied AI ...

Location

United States , North Reading

Salary:

116500.00 - 186400.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

2+ years of experience in machine learning, applied AI, or related fields
Hands-on experience building and deploying ML models
Exposure to production ML systems (MLOps, monitoring, deployment) is desirable
Ability to work collaboratively across teams
Strong analytical and problem-solving skills
Basic understanding of software engineering practices and version control
Ability to work cross-functionally with product, software, and hardware teams
Strong communication skills
comfortable engaging directly with customers and stakeholders
Strong problem-solving and reasoning skills

Job Responsibility

Design and implement pipelines for training, evaluation, and deployment of ML models
Apply graph ML methods to model relationships in structured and unstructured data
Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks
Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems
Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems
Assist in defining evaluation metrics and validation strategies for ML models
Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions
Contribute to improving ML infrastructure, tooling, and best practices

What we offer

Medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more

Fulltime

Software Engineer - Machine Learning

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

5+ years of experience applying Machine Learning to concrete problems at large scale
Strong CS fundamentals
Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models
Understanding of NLP approaches like W2V or Bert
Good understanding of system architecture
Experience in big data technologies – streaming architecture, data pipelines, etc.
Bachelors in Computer Science, Statistics, or related field

Job Responsibility

Apply state of the art ML on recommendations using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations
Run online AB tests and analyze them against critical business KPIs
Collaborate with US engineering teams and cross-functional teams to translate business requirements into technical specifications
Nurture ML ecosystem to withstand scale, developer velocity and future business shifts
Help in training and mentoring new team members

What we offer

Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Time off in accordance with local leave policies

Fulltime

Staff Software Engineer - Machine Learning

Role: The Smart Agents group is responsible for building the ML models and syste...

Location

United States

Salary:

134000.00 - 235900.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

4+ years of experience in the field of robotics or latency-sensitive backend services
Background working with machine learning teams, algorithms, and models
Strong programming skills in modern C++ or Python
Experience building highly performant ML and system pipelines
Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
Passionate about self-driving car technology and its impact on the world
Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible
Ability to design across multiple systems
Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain
Ability to wear several hats shifting between coding, design, technical strategy, and mentorship

Job Responsibility

Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization
Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation
Work as part of an ML team and contribute strong software engineering (SWE) expertise
Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies

What we offer

Health and wellbeing benefit programs
Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays

Fulltime

Software Engineer, Machine Learning - Credit & Refund Optimization

Join the team focused on building intelligent, personalized systems that drive f...

Location

United States , San Francisco

Salary:

137100.00 - 299300.00 USD / Year

DoorDash

Expiration Date

Until further notice

Requirements

3+ years of industry experience delivering machine learning systems with clear business impact, especially in personalization, optimization, or causal inference
Deep expertise in statistical modeling and causal inference (e.g., uplift modeling, treatment effect estimation, synthetic controls, instrumental variables)
Experience designing and deploying optimization algorithms (e.g., multi-objective optimization, bandits, constrained optimization)
Proficiency in Python and ML tooling such as PyTorch, Spark, and MLflow
A strong product sense and ability to translate business objectives into technical solutions
M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Economics, Mathematics)
Excellent communication skills and a track record of cross-functional leadership

Job Responsibility

Designing and deploying causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behavior
Developing optimization frameworks that balance customer experience with operational cost, under policy and budget constraints
Building personalized decision systems that adapt to customer preferences and platform dynamics in real time
Collaborating with engineering, product, and data science partners to shape the roadmap for trust, service recovery, and consumer experience
Leading end-to-end model development, including experimentation, deployment, monitoring, and iteration

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off
paid sick leave
medical benefits
dental benefits
vision benefits
11 paid holidays

Fulltime

Senior Software Engineer, Machine Learning

Senior Machine Learning Engineer at Arrive, you will serve as a key technical le...

Location

United States , Chicago

Salary:

171000.00 - 213000.00 USD / Year

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with Python, object oriented programming and building highly scalable backend services
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig
Understanding of both traditional machine learning and deep neural networks
Strong communication skills with the ability to articulate, diagram and document complex engineering concepts

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity

What we offer

Medical, dental, vision, life, and disability coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours
Casual dress code
CTA and L train stops walking distance from the office
Bike storage inside of the building
Access to LifeStart gym in office building
Free counseling sessions through Employee Assistance Program
Referral Program

Fulltime

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Software / Machine Learning Engineer

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