Senior Computer Vision Engineer

Glasgow, Scotland £52500 - £74500 annum Frazer-Nash Consultancy

Posted 369 days ago

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Job Description

Permanent

Office locations for this role include - Bristol, Burton, Warrington, Gloucester and Glasgow.

Salary range is £52,500pa - £4,500pa depending on experience.

Do you want to help us create a safe and secure world through the delivery of transformational and trusted autonomous technologies?

We seek to develop novel autonomous systems for a better world, working with the latest sensors, deploying our technology to advanced computing platforms and experimenting with novel vehicles.

Our team works closely with customers and users, ensuring we are solving real problems in a way that can be deployed in real situations. This means the systems we develop must be safe, reliable and trustworthy.

We are looking to grow our team with intelligent, talented and motivated people to continue to deliver transformational technology.

The role presents a unique opportunity to work on cutting edge technology and see your ideas deployed in the real world, becoming a key figurehead within our Engineering Area. We often work on projects which develop ideas into live system demonstrations in 12 months or less.

This rapid development cycle can only succeed with a team which has the skills and abilities to understand and solve unexpected challenges.

To achieve this, you will be:

  • Researching and understanding the current state of the art to select the best set of technologies to apply to the problem.
  • Developing and integrating the solutions to work in simulations and on physical platforms to characterise and develop performance.
  • Working with customers and users to understand their needs and constraints, developing concepts and methods which could solve their problems.
  • Supporting trials and demonstrations to customers and users.

Your role would focus on specifying, developing and delivering AI based technical solutions. You would be supported in taking a senior project role, which would likely involve capability development, client engagement, project and financial responsibility.

You would have the opportunity to keep developing your own technical and consultancy skills, but also to mentor and support more junior staff helping them reach their potential.

If you’re interested in joining our team, please submit your CV along with a short covering letter detailing why you feel you’d be a good fit for this role.

Requirements

This role would suit someone with solid technical experience looking to take the next step and move into a wider leadership role.

Our ideal team member would meet the following requirements:

  • Experience specifying, developing, and deploying AI approaches to solve real-world problems.
  • Strong experience in modern computer vision techniques
  • Ability to communicate complex information to both technical and non-technical audiences.
  • Skilled with common Python deep learning frameworks (e.g. TensorFlow and PyTorch)
  • Experience in deploying to edge AI hardware

We’d love to hear if you have any other relevant experience, such as experience of geo spatial data processing, generative AI techniques, reinforcement learning, optimisation or non-visible sensing technologies.

Due to the nature of the work that Frazer-­Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.

Benefits

  • Happy To Talk Flexible Working
  • Competitive salary: [£52,500 4,500]
  • 25 days' holiday entitlement
  • Holiday sale and purchase scheme
  • Company pension scheme
  • Targeted professional development
  • Life assurance
  • Private healthcare membership
  • Bonus scheme linked into company performance
  • Paid membership fees to a professional institution
  • Support in attaining professional membership
  • Cycle to work scheme
  • Season rail ticket loan
This advertiser has chosen not to accept applicants from your region.

Audio Machine Learning Engineer

Glasgow, Scotland Cisco

Posted today

Job Viewed

Tap Again To Close

Job Description

Audio Machine Learning Engineer
Apply ( Location:Glasgow, United Kingdom
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence, Software Development
+ Job Id1442928
**Who are we?**
The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our vibrant and unwavering pursuit of excellence
**Overview:**
We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute to the development of next-generation audio software and make a significant impact in the industry.
**Key Responsibilities:**
+ Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement.
+ Train, validate, and fine-tune machine learning models for various applications.
+ Evaluate and benchmark the performance of machine learning models using appropriate metrics and statistical techniques.
+ Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance.
+ Debug and solve issues related to machine learning algorithms and audio software applications.
+ Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively.
**Our Minimum Qualifications for this Role:**
+ Ph.D. in relevant field with 0+ years or Masters in relevant field with 3+ years of experience in developing and deploying machine learning models for audio related applications.
+ Must have Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio, or similar).
+ Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch).
+ Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio.
+ Expected to have strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges is required.
**Our Preferred Qualifications for this Role:**
+ Familiarity with audio signal processing concepts, such as Fourier analysis, spectral modeling, and time-frequency representations is essential.
**Why Cisco?**
#WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you!
Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise.
We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).
We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
This advertiser has chosen not to accept applicants from your region.

Audio Machine Learning Engineer

Glasgow, Scotland Cisco

Posted today

Job Viewed

Tap Again To Close

Job Description

Audio Machine Learning Engineer
Apply ( Location:Glasgow, United Kingdom
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence, Software Development
+ Job Id1442661
**Who are we?**
The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our vibrant and unwavering pursuit of excellence
**Overview:**
We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute to the development of next-generation audio software and make a significant impact in the industry.
**Key Responsibilities:**
+ Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement.
+ Train, validate, and fine-tune machine learning models for various applications.
+ Evaluate and benchmark the performance of machine learning models using appropriate metrics and statistical techniques.
+ Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance.
+ Debug and solve issues related to machine learning algorithms and audio software applications.
+ Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively.
**Our Minimum Qualifications for this Role:**
+ Ph.D. in relevant field with 0+ years or Masters in relevant field with 3+ years of experience in developing and deploying machine learning models for audio related applications.
+ Must have Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio, or similar).
+ Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch).
+ Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio.
+ Expected to have strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges is required.
**Our Preferred Qualifications for this Role:**
+ Familiarity with audio signal processing concepts, such as Fourier analysis, spectral modeling, and time-frequency representations is essential.
**Why Cisco?**
#WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you!
Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise.
We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).
We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
This advertiser has chosen not to accept applicants from your region.
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