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Engineering Manager - MLOps & Analytics

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Engineering Manager - MLOps & Analytics

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Canonical The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.

You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.

You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.

We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.

Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location:

This is a Globally remote role.

What your day will look like

Manage a distributed team of engineers and its MLOps/Analytics portfolio Organize and lead the team's processes in order to help it achieve its objectives Conduct one-on-one meetings with team members Identify and measure team health indicators Interact with a vibrant community Review code produced by other engineers Attend conferences to represent Canonical and its MLOps solutions Mentor and grow your direct reports, helping them achieve their professional goals Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

A proven track record of professional experience of software delivery Professional python development experience, preferably with a track record in open source A proven understanding of the machine learning space, its challenges and opportunities to improve Experience designing and implementing MLOps solutions An exceptional academic track record from both high school and preferably university Willingness to travel up to 4 times a year for internal events

Additional skills that you might also bring

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. Experience with building machine learning models Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Experience in the Linux and open-source software world Working knowledge of cloud computing Passionate about software quality and testing Experience working on a distributed team on an open source project -- even if that is community open source contributions. Demonstrated track record of Open Source contributions

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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using specialist tools to extract the data needed
- responding to data-related queries and keeping track of these
- analysing data to identify trends
- setting up processes and systems to make working with data more efficient
- researching new ways to make use of data

This job has been sourced from an external job board.

We are looking for an experienced people manager to lead the delivery of our Talent Science roadmap on predicting job performance and hiring outcomes. This is an exceptional opportunity to join a team that is changing the way an organisation hires by deep examination of performance drivers to ensure our hiring processes feed a culture of exceptional talent.

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our hiring processes are effective and that the business is able to make the best decisions to select and hire exceptional talent.

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world-class talent, regardless of location, culture, or background.

Our team is looking to hire a Manager to lead a group of Talent Scientists whose quest it is to best predict performance outcomes. This role will report directly to the Global Head of Talent Science.

Your role will include:

- Leading a team to deliver an analytical roadmap of projects (Prediction of performance outcomes, advancing psychometric approaches, driving automation on our platforms) using innovative and scalable solutions to hiring as we go through a period of significant growth.
- Act as a partner to our senior stakeholders bringing exceptional analytics to our hiring process with a point of view to how an organization builds a culture of exceptional talent.
- Use advanced data-driven analytical approaches to solve problems and innovate.

Location: EMEA - Home based

What your day will look likeIn this role you will:

- Lead a team of data-driven analytical talent experts who are responsible for ensuring that our hiring teams are able to select game-changing talent.
- Lead and drive deep analytical and data-backed approaches to projects that enable us to develop our hiring processes and outcomes, including statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.
- Bring an expert point of view talent assessment discovering the attributes that drive ultimate job success, reviewing our assessment effectiveness to drive continuous improvement.
- Build key relationships with global Hiring Leadership stakeholders to drive our hiring agenda.
- Be seen as a thought leader on talent initiatives with an inherent belief that past performance predicts future success.

What we are looking for in you
- An undergraduate or postgraduate degree in psychology/industrial psychology, or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
- Proven management experience inspiring and leading talent teams to deliver against strategic hiring initiatives.
- Excellent project management skills to lead roadmaps, including driving efficiency and delivering results.
- Exceptional analytical skills to examine data and identify patterns, trends, and behaviors: statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.
- A thought leader in the talent space with the ability to influence best practice, bringing a solid point of how to build a high-performance organization.
- Proven ability to work with senior stakeholders to drive a professional outlook on hiring talent as well as challenge the status quo.
- A sense of urgency with results-driven approaches to deliver business-critical projects
- Willingness to travel internationally up to 4 times a year for internal team and company events.

Other skills you may bring
- Experience in building data dashboards.
- Exposure to the following tools: LinkedIn Recruiter and Talent Insights, Greenhouse, DISC profiling/Thomas International.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals.

Fully remote working environment - we’ve been working remotely for 20 years.

Personal learning and development budget of 2,000USD per annum

Annual compensation review

Recognition rewards

Annual holiday leave

Parental Leave

Employee Assistance Programme

Opportunity to travel to new locations to meet colleagues at ‘sprints’

Priority Pass for travel and travel upgrades to Premium Economy for long-haul company events

About CanonicalCanonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open sourc

Our client is a boutique trading company focused on selling commodities and currently hiring an experienced Business Development Manager.
- Develop a growth strategy focused both on financial gain and customer satisfaction
- Increasing the value of current customers while attracting new ones
- Prepare sales contracts ensuring adherence to law-established rules and guidelines
- Develop the range of commodity
- Regular travels to ensure follow-up of all issues & commercial leads
- Negotiate prices with suppliers and end buyers
- Full budget and P&L responsibility

**What are we looking for?**
- Fluent English and French is a MUST
- Expertise in developing sales
- Experience with the development of a range of commodities (FMCG)
- Strong analytical skills
- Superb negotiation skills
- Proficient with handling budget and P&L
- Willing to travel frequently

Remote Work

This job has been sourced from an external job board.

Data Science Specialist, Analytics Division

• Analyzing complex data sets to provide insights and recommendations.
• Developing algorithms and statistical models to extract valuable information from data.
• Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions.
• Presenting findings and recommendations to stakeholders clearly and concisely.
• Keeping up-to-date with advancements in data science and technology.

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work collaboratively in a team environment.

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Data Science Specialist, Analytics Division

Analyzing complex data sets to provide insights and recommendations. Developing algorithms and statistical models to extract valuable information from data. Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions. Presenting findings and recommendations to stakeholders clearly and concisely. Keeping up-to-date with advancements in data science and technology. Requirements: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in data analysis, statistical modeling, and machine learning techniques. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to work collaboratively in a team environment.

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As a Senior Data Engineer, your responsibility is to implement and deploy data analysis pipelines at various clients of Lynx Analytics. In this role, you will:

- Understand the business problems we solve for our clients. This role involves frequent communication with our clients and a close working relationship with the Data Scientist.
- Discover the client's existing data sources that are relevant to the problems we try to solve. This includes discussions with client IT, data owners, future business users, etc.
- Together with IT employees of our clients, decide on the technical architecture for the ETL solution.
- Implement the data ingestion subsystem: this is the system responsible for moving all the necessary data sources to a single location where the actual analysis will happen.

This job has been sourced from an external job board.

Job Summary

The Analytics Senior acts as the “single source of truth” and is responsible for providing data-based answers to business related questions. The Analytics Senior accepts reports and analysis requests from Marketing and manages the analysis and mining of data to produce commercially relevant insights. Furthermore the Analytics Senior will lead the build-up of core data products as well as modeling and experimentation processes. The position is a leadership role that strikes the right balance between business acumen and passion for modeling, writing code and getting hands-on with technical solutions.

Main Responsibilities and Duties
- Develop solutions & Ad-hoc zoom-ins of key commercial hypothesis and analysis requests generated from leadership meetings
- Develop and implement algorithms for analysis of large, complex datasets
- Create visualizations to present results of analyses to various stakeholders (including stakeholders of a non-technical background)
- Perform mathematical modeling, machine learning, probability and other data studies and data discovery around new data sources or new uses for existing data sources
- Lead the development of models that are appropriately scoped to solve marketing problems that include but are not limited to:

- Statistical forecasting models
- Profitability models
- Business case simulations

What Do I Need?
- Ability to lead, inspire and motivate stakeholders towards a common goal
- Ability to efficiently manage one's own time and the time of others
- Excellent knowledge of statistics, data mining tools and methodologies (e.g. R, SQL, Python, etc.)
- Familiarity with business theory and methodology
- Strong quantitative, analytical reasoning and modelling abilities
- Strong statics background and comfort developing mathematical query and data manipulation solutions
- Strong problem solving skills and ability to identify and frame key issues
- Excellent written and verbal communication, influence, and negotiation skills to express ideas
- Experience handling medium to large datasets (100 GB+)
- Basic understanding of telecommunications and tech industry
- Advanced MS Office skills (Excel, Word, PowerPoint, etc.)

More Details

Education Level

Bachelor’s Degree required; Master Degree or Certification Preferred

Education Field / Major

Business / Computer Science / Engineering or related field

Professional Experience - Role

Quantitative analytics / Customer base management

Years Of Experience

Desired Skills and Experience
- Strong problem solving skills and ability to identify and frame key issues
- Excellent written and verbal communication, influence, and negotiation skills to express ideas
- Advanced MS Office skills (Excel, Word, PowerPoint, etc.)

This job has been sourced from an external job board.

Design and implement scalable and efficient data models for our Core datamart.
- Develop and optimize SQL queries for analytical and reporting purposes.
- Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s).
- Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data.

This job has been sourced from an external job board.