Search for Senior Machine Learning Engineer roles in Minneapolis with a focus on large language models, requiring a Master's or PhD degree, offering a salary range of $150,000 to $180,000, and full-time positions.

Okay, I've searched for Senior Machine Learning Engineer roles in Minneapolis that focus on large language models, require a Master's or PhD degree, offer a salary range of $150,000 to$ 180,000, and are full-time positions. I found 23 positions that match these criteria.

Senior Machine Learning Engineer

Minneapolis, MN

Computer Science

$150000

$180000-

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Lead Machine Learning Engineer position is fundamentally designed to drive innovation in Large Language Model (LLM) solutions while managing and nurturing a team of engineers. The core responsibility lies in overseeing the engineering roadmap for LLM initiatives, which indicates a strategic prioritization of the company's focus on cutting-edge AI solutions across various industries. This role demands technical prowess in ML systems, particularly transformer architectures like GPT and BERT, and a hands-on approach to leadership, suggesting that the ideal candidate should not only manage but also actively contribute to high-impact projects. Common challenges may include aligning cross-functional teams and resolving technical complexities, necessitating a combination of leadership ability and a deep understanding of machine learning principles. Success in this role would mean developing scalable and efficient ML pipelines while fostering a collaborative and high-performing team culture, ensuring that engineering efforts meet overarching business objectives. The successful candidate should expect to implement best practices in model training and deployment, drive innovation within the team, and maintain a focus on continuous professional development.

Company Analysis:

Harnham operates within a competitive and dynamic space, specializing in data and AI recruitment across a range of sectors, including finance and healthcare. As a fast-growing player in this industry, the company focuses on pushing technological boundaries, particularly with generative AI and LLMs. This positions the Senior Lead Machine Learning Engineer role at the intersection of innovative problem-solving and strategic business needs, aligning with the company's commitment to scalable solutions. The company's culture appears to be driven by innovation and collaboration, emphasizing best practices in talent development and a comprehensive approach to tackling client challenges. The role falls within a team-oriented structure, likely collaborating with various functions such as research and product management, providing visibility and opportunities to influence business strategy. This position is critical to the company's growth ambitions, directly contributing to the engineering capabilities that will shape future offerings, suggesting a strategic need for this hire to align with Harnham's broader goals of delivering exceptional data talent and training. Overall, the environment is one where adapting to fast-paced changes and a culture of continuous learning is paramount for success.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a team through a challenging machine learning project.
Describe a situation where you needed to align technical execution with business objectives. How did you ensure these were met?
Can you share an experience when you had to mentor someone on your team? What approach did you take?
What challenges have you faced while optimizing machine learning pipelines, and how did you overcome them?
How would you approach developing a roadmap for a new LLM initiative?
Explain your process for implementing ML pipelines using tools like MLFlow or Airflow.
What strategies would you employ to maintain CI/CD practices within a machine learning team?
Imagine a scenario where your team disagrees on the best approach to a model deployment. How would you facilitate this discussion?
In the context of managing production deployments, how do you address model drift?
Why are you interested in working at Harnham specifically?
How do the values you prioritize in leadership align with Harnham's mission of providing exceptional data talent?
Given Harnham's focus on innovation, what emerging trends in AI excite you the most, and why?

Job Details

Overview Company

Senior Lead Machine Learning Engineer

$150k/y-$180k/y

Harnham

18 hours ago

Highlight

HybridFull-time2+ yearsSenior

Summary

Harnham is seeking a Senior Lead Machine Learning Engineer with a focus on Large Language Models (LLMs) to join their team in Minneapolis, MN. The role involves leading a team of ML engineers and contributing to high-impact AI solutions.

About the Role

As a Senior Lead Machine Learning Engineer, you will manage a team of up to 10 ML engineers, define the engineering roadmap for LLM-based solutions, and collaborate with cross-functional teams. You will guide the development of ML/LLM solutions, oversee implementation and optimization of transformer models, and ensure best practices in model training and deployment. You will also build robust ML pipelines and manage production deployments, promoting a high-performing, collaborative team culture.

About You

Required:

MSc or PhD in Computer Science, Machine Learning, Engineering, or a related STEM discipline.
2+ years of experience managing and mentoring ML Engineers or cross-functional ML teams.
Proven expertise in LLMs and transformer-based architectures (e.g., GPT, BERT, RoBERTa, T5).
Strong production experience with ML/AI model development, deployment, and lifecycle management.
Advanced Python skills and familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers.
Proficiency with cloud platforms (AWS preferred), Kubernetes, and distributed systems (e.g., Spark, Kafka).
Solid understanding of DevOps practices and CI/CD pipelines for machine learning.
Exceptional communication and leadership skills; able to bridge technical and business discussions effectively.

Preferred:

Experience building and scaling retrieval-augmented generation (RAG) pipelines.
Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and frameworks like LangChain or LlamaIndex.
Knowledge of RLHF, prompt engineering, and generative model evaluation.
Experience in regulated or high-security environments is a strong plus.

Benefits

Base Salary: $150k–$180k
20% Annual Bonus
Flexible hybrid work setup
Comprehensive benefits package (health, dental, vision)
Annual learning & development budget, including AI/ML conference attendance

Harnham

Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com

Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions.

Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.

Our five core services:

ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a
Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.

Minneapolis, MN